Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

About Loop

Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.

We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.

Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.

About the New Grad Program

Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.

This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.

The Schedule:

• Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
• Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
• Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include:
• Platform: AI infrastructure and Engineering Systems.
• Core Product: Audit, Billing, and Payments logic.
• Commercial: Revenue Activation and Forward Deployed Engineering.
• Special Projects: Partnering directly with the CEO/CTO and other execs
• Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.

About You

We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:

• You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding.
• You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
• You are drawn to hard problems. You want problems that are more than one prompt away from a solution.
• You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.

Responsibilities

• Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world.. 
• Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem.
• Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
• Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
• Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.

Qualifications

• Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
• Working in person in the SF or Chicago office 4 days a week.
• Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
• Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
• AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)

Compensation

• $125,000 annual base pay for Chicago

Benefits & Perks

• Fully paid health insurance.
• 401k with matching.
• Unlimited PTO.
• Generous professional development budget.
• Commuter benefits.
• Wellness benefits
• Phone plan stipend

#LI-LOOP

 Senior AI Engineer - Geneva Trading, Chicago

Geneva Trading is a technology-driven proprietary trading firm where engineering directly impacts performance. We're looking for a senior engineer who can lead the adoption of AI across the organization. Someone who stays on the cutting edge, experiments relentlessly, and ships the practices that actually work to the rest of the team.

This is a hands-on IC position for someone who thrives on autonomy, moves fast, and measures their success by how much more effective they make everyone around them.

 What You'll Do

Explore and evaluate. The AI landscape is evolving weekly. You'll stay current on new models, tools, frameworks, and techniques and have the judgment to separate signal from noise.

Experiment and validate. You'll identify specific problems across the engineering organization, prototype AI-driven solutions, and measure whether they improve outcomes. Not every experiment will work, and that's expected.

Ship and scale. When something works, you'll package it into workflows, tooling, and best practices that the broader team can adopt. This means writing clean, production-quality code.

Measure impact. You'll define and track metrics around engineering efficiency — cycle time, developer throughput, time-to-resolution, or whatever matters most to the team. The goal is demonstrable, measurable improvement.

Lead through influence. You'll drive adoption through training, documentation, and collaboration. You'll need to earn trust by consistently delivering results.

Specific Areas of Focus

• Integrating LLMs and AI assistants into engineering workflows (code review, development, testing, documentation)
• Building automation and orchestration for repetitive or high-friction processes
• Developing internal tools that leverage AI to improve decision-making and productivity
• Evaluating and deploying new AI capabilities as they emerge

 What We're Looking For

• Strong software engineering fundamentals. You're an engineer first, with AI as your current focus area
• Proficiency in Python and comfort building production systems
• Experience applying ML/AI in practical, production settings (not just research)
• Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem
• Ability to work independently, set your own priorities, and manage ambiguity
• Strong communication skills. You'll need to explain what you're doing and why to both engineers and senior leadership
• Curiosity and pace. You genuinely enjoy keeping up with a fast-moving field

Nice to Have

• Experience with agent orchestration frameworks and multi-step AI workflows
• Familiarity with emerging standards and protocols in the AI tooling space (e.g., MCP)
• Background in trading, fintech, or other performance-sensitive environments
• Experience with cloud platforms (AWS, GCP, or Azure)

Compensation

Base Salary Range: $200,000 – $300,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

 Director of AI Engineering– Geneva Trading- Chicago

At Geneva Trading, technology isn’t just a support function; it’s a competitive edge. We’re looking for an innovative engineer who can harness the power of AI and machine learning to transform how we trade, analyze, and operate. If you thrive in fast-paced environments, love solving complex problems, and want to see your work directly impact performance, this is your opportunity to make a difference.

What You’ll Do

• In this role, you will build intelligent features and autonomous workflows that enhance user experiences.
• You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
• Build robust orchestration and automation workflows integrating multi-agent capabilities.
• Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
• Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
• Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
• Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
• Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
• Big data analytics with Agentic AI systems to create actionable insights from verified sources.
• Present insights and outcomes to senior leadership, influencing strategic decisions.

What We’re Looking For

• Degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in AI, automation, or advanced technology roles.
• Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Strong proficiency in Python and familiarity with AI frameworks and libraries.
• Hands-on experience with MCP and prompt engineering.
• Understanding AI solutions for deployment and monitoring in enterprise environments is important.
• Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.
• Experience with cloud platforms is a plus.

Compensation

Base Salary Range: $250,000 – $350,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Pinterest is at one of those rare inflection points that comes along once in a generation. The way software gets built is changing fundamentally — AI agents are beginning to write code, review pull requests, debug production incidents, and orchestrate entire features. Pinterest is not watching this transformation from the sideline. We are choosing to lead it.

We are looking for a Principal Engineer to serve as a technical force multiplier for our Engineering Acceleration organization — a team of 60–80 engineers whose mission is to 10x how fast, and how well, every engineer at Pinterest builds. This is a startup-within-a-company opportunity: the charter is ambitious, the problems are largely unsolved, and the systems you build will define how an entire engineering organization operates for years.

As Principal Engineer for Agentic Engineering, you will architect and ship the foundational platform and capabilities that enables AI agents to operate as integrated participants in Pinterest's software development lifecycle. You will design the agent runtimes, memory systems, orchestration frameworks, evaluation pipelines, and governance models that make it possible for 3,000+ engineers to build alongside AI agents — safely, measurably, and at scale.

This is not a strategy-only or governance-only role. Architecture authority here is earned through production systems, measurable impact, and technical depth. You will write code. You will build reference implementations. You will take the hardest, most ambiguous problems and move them from concepts to operational systems — and in doing so, set the standard for how Engineering Acceleration builds.

You will work without a direct reporting team but with broad organizational authority. The Senior Director of Engineering Acceleration, VP of Engineering, and Chief Architect will look to you as a key technical advisor — a trusted partner and primary delegation point for the hardest technical questions facing this organization. Your instincts will shape hiring bars, investment decisions, and multi-year technical direction.

What you’ll do: 

• Define and drive Pinterest's technical strategy for agentic engineering — building the platform where AI agents write code, review pull requests, debug production incidents, and orchestrate development workflows across 3,000+ engineers
• Architect and ship production systems — modular agent runtimes, persistent memory, multi-agent orchestration (planner, executor, reviewer, tool agents), sandbox isolation, evaluation pipelines, governance (trust boundaries, code generation policies, credential protection, audit trails), and enterprise-grade security
• Reimagine Pinterest's SDLC — transforming coding, testing, reviewing, deploying, and monitoring into an AI-native lifecycle where humans move from "in the loop" to "on the loop"
• Own developer velocity measurement — telemetry, benchmarking, and evaluation systems that track agent quality, reliability, cost, and engineering throughput, building structured feedback loops that compound toward order-of-magnitude velocity gains
• Serve as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration — integrating AI-native workflows with Pinterest's monorepo tooling, CI/CD pipelines, observability, and code quality systems while providing architectural direction, making disciplined build-vs-buy decisions, and setting quality standards through reference implementations
• Drive engineering-wide adoption — through compelling prototypes, reference architectures, technical evangelism, and documentation that makes the abstract concrete
• Build strategic relationships with AI platform vendors — such as Anthropic, OpenAI, AWS, Google and contribute to open-source agentic frameworks to keep Pinterest at the leading edge
• Translate ambiguous business opportunities into precise engineering investments with strong product sensibility — building platforms with the developer experience and adoption characteristics that generate real impact
• Serve as key technical advisor and delegation point — working with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect — shaping investment priorities and multi-year technical direction
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale
• Demonstrated hands-on experience designing and shipping agentic AI systems in production — including knowledge and context engineering, persistent memory architectures, multi-agent orchestration frameworks (LangChain, LangGraph), tool integration, and production observability for AI systems
• Experience working in large-scale monorepos or complex multi-service codebases and understanding the unique tooling, navigation, and developer workflow challenges they create
• Familiarity with agentic development best practices — AGENTS.md conventions, skills frameworks, prompt engineering for code agents, and hands-on experience accelerating developer velocity through AI-powered IDEs and local agentic workflows
• Track record of driving sweeping technical change across large engineering organizations (500+ engineers) without direct authority — through compelling vision, high-quality reference implementations, and credibility earned from shipping systems that work
• Deep understanding of modern SDLC tooling and workflows: code review systems, automated testing, CI/CD pipelines, static analysis, and the judgment to know how these systems must evolve when AI becomes a first-class participant
• Exceptional cross-functional influence and communication skills — comfortable operating across Security, Infrastructure, Platform, and Product Engineering. Able to handle complex technical conversations at any level, from staff engineers to CTO
• Strong product sensibility and business judgment — ability to convert ambiguous opportunities into precise technical direction, understand developer needs before they're articulated, and build platforms that developers want to adopt
• Bachelor’s degree in Computer Science, a related field or equivalent experience

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-SG1

Lyra Tech Group is looking for a Forward Deployed AI Engineer to work directly inside our clients' businesses — rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.

Your work as a Forward Deployment AI Engineer will include several components:  

•    Client Acquisition & Relationship Management: Identify, engage, and secure new business opportunities through
•    Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
•    Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
•    Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
•    Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
•    Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation
•    Train and enable client teams to maintain and iterate on solutions post-deployment
•    Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
•    Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Our ideal Forward Deployment AI Engineer has the following qualifications:

•    Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
•    Must be legally authorized to work in the United States without employer sponsorship 
•    2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
•    Working proficiency in Python and familiarity with REST APIs and cloud services
•    Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
•    Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
•    Ability to work independently in ambiguous, fast-moving client environments
•    Strong communication skills — you can explain a vector database to a CFO without losing them
•    Willingness to travel regularly to client sites in the Chicagoland area (estimated 40–60%) 

Preferred
•    Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
•    Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
•    Exposure to low-code/no-code tools alongside custom-code solutions
•    Prior client-facing, consulting, or forward-deployed engineering experience
•    Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail

Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements — you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.

The targeted salary for this role is $120,000-$150,000 per year and will operate out of the Naperville office on a hybrid basis.

Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

As a Senior Forward Deployment Engineer, you sit at the intersection of software engineering and customer impact. You build and deploy AI-powered integration and agentic workflow solutions directly with enterprise customers — from the first technical discovery conversation through post-launch enhancements. You are the engineer in the room who hears a customer problem and builds the solution. Speed matters here — the ability to write optimized, production-grade code fast and deploy it to customers without long feedback cycles is what makes the FDE function valuable. Strong data structures and algorithms fundamentals and an innovative, non-obvious approach to problem solving are core to what we look for. AI fluency — building agentic workflows and using LLMs as a daily engineering tool — is a baseline expectation for everyone on this team, not a specialization.

What you'll be doing:

• Build and deploy integration solutions — EDI (214, 315), callbacks, custom payload mapping, and API integrations — with production-grade quality and full test coverage
• Deploy agentic AI workflows that orchestrate supply chain operations live with customers present — configuring and deploying in the call, not gathering requirements to build later
• Write and extend LangGraph-based workflow extensions and wrapped action customizations in Agent Studio
• Use Claude, OpenAI, and other LLMs across the entire workflow — requirements documentation, integration design, code generation, testing and deployment; LLMs are not a convenience tool, they are how this team works
• Participate in customer discovery and technical clarification calls — answering complex technical and product questions with concrete, innovative solutions in real time
• Write thorough root cause analyses for integration failures and own the fix through to resolution
• Perform code reviews on integration and AI workflow work and maintain the team's quality standards before any customer deployment
• Contribute to the team's reusable integration package and AI workflow template library as you build
• Mentor incoming FDEs — pair on hard problems, accelerate their ramp-up, and share institutional knowledge
• Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes

About the team:

At FourKites, our teams solve complex, high-impact problems that move the world’s supply chains—from delivering critical medical supplies to keeping grocery shelves stocked. We’re a group of curious, customer-obsessed problem solvers who value empathy, inclusivity, and diverse perspectives. Working closely with Fortune 100 customers, our teams sit at the intersection of cutting-edge AI and real-world enterprise systems to build solutions that are practical, scalable, and transformative.

Who you are:

• 5+ years of software engineering experience — what matters more than tenure is the depth and quality of what you have built
• Strong proficiency in Java (required) — writes clean, optimized, production-grade code with proper error handling, test coverage, and clear design thinking from day one
• Strong foundations in data structures and algorithms — able to reason about time and space complexity, choose the right data structures for the problem, and write code that performs at scale without being told how
• Strong software design instincts — designs integration solutions that are modular, maintainable, and built to evolve; doesn't just write code that works today, writes code that holds up over time
• Writes code at speed without sacrificing quality — can take a customer requirement from problem statement to working, deployed solution faster than traditional development cycles allow; this is a core expectation, not a nice-to-have
• Innovative problem solver — approaches integration and AI workflow challenges with genuine curiosity, finds non-obvious solutions, and doesn't default to the first approach that comes to mind
• Proficient in REST APIs, HTTP/HTTPS, SFTP, and core data formats — XML, EDI, JSON, flat files — can read, write, and transform all of them
• Working knowledge of enterprise integration patterns and how to apply them in distributed, multi-tenant systems
• Solid working understanding of LLMs, prompt engineering, and agentic workflow design — hands-on, not theoretical
• Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, code generation, debugging, testing and deployment; not just as a coding assistant but as a core engineering tool
• Familiar with agentic frameworks such as LangGraph or LangChain and has built or configured at least one AI workflow in production or a meaningful side project
• Understands authentication patterns: OAuth 2.0, API keys, basic auth, token lifecycle management
• Comfortable on customer calls — communicates technical concepts clearly to both technical and non-technical stakeholders
• Able to deploy agentic workflows live with customers present, handling configuration and troubleshooting in the moment

Preferred Qualifications

• Experience in supply chain, logistics, transportation, or B2B SaaS platforms is a strong plus
• Familiarity with enterprise integration patterns and the ability to select the right approach for a given business and technical scenario
• Familiarity with EDI standards, carrier integrations, TMS/WMS systems, and supply chain data flows
• SQL proficiency — Snowflake experience is a plus
• Experience with low-code/no-code workflow automation platforms such as Pipedream, n8n, Temporal, or equivalent
• Proficient with Lucidchart, Miro, draw.io, or similar tools to document and communicate integration designs visually — the ability to make a complex data flow readable to a customer or a non-technical stakeholder matters as much as the build itself
• Experience working with enterprise customers in a post-sales, implementation, or technical account role
• Familiarity with webhook and callback delivery architecture

Compensation

The expected annual base salary range for this role is $110,000 - $150,000. Actual compensation will be determined based on several factors, including but not limited to experience, qualifications, skills, and business needs. In addition to base salary, this position is eligible for bonus and incentive compensation as well as participation in FourKites' employee stock option program.

Benefits

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office.

Benefits include:

• Medical, Dental & Vision benefits starting on first day of employment

• 401k Retirement savings with employer match

• Bonus and incentive compensation as well as employee stock option program

• Employer paid life insurance and short term disability insurance

• Generous PTO, global recharge days, and volunteer days

• Paid parental leave for all parents

• Family planning and inclusive wellbeing resources

• Technology reimbursement

• Commuter benefits for in-office employees (Chicago)

• Annual Wellness Stipend

• Ongoing learning & development opportunities

About FourKites

FourKites, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower® breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration. For more information, visit www.fourkites.com.

If you are a California resident, here is our California Applicant Privacy Notice. If you are a European Union resident, here is our EU Applicant Privacy Notice.

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're excited about this role but don't meet every requirement, we encourage you to apply.

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.

We're looking for a Forward Deployed Engineer who thrives at the intersection of software engineering and direct customer impact. You'll work alongside enterprise customers from first technical discovery through post-launch building and deploying integration and Agentic AI solutions. You hear a customer's problem and you build the solution. Speed, quality, and AI fluency aren't aspirational here; they're how this team operates every day.

What You'll Do

• Customer-Facing Engineering – Join discovery and technical calls, answer complex questions with concrete solutions on the spot, and deploy agentic workflows.
• Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.
• AI Workflow Development – Write and extend LangGraph-based workflows and Agent Studio customizations that orchestrate real supply chain operations.
• Integration Development – Design and develop production-grade integrations to connect with customer systems to solve complex supply chain problems.
• Quality & Ownership – Write thorough RCAs for integration failures, own fixes through resolution, and conduct code reviews before any customer deployment.
• Knowledge Building – Contribute to the team's reusable integration and AI workflow library, and mentor incoming FDEs.

Must Have

• Strong proficiency in Java, Python — clean, production-grade code with proper error handling and test coverage.
• Solid data structures and algorithms fundamentals — you reason about complexity and pick the right approach, not the obvious one.
• Hands-on experience with LLMs, prompt engineering, and agentic workflow design — practical, not theoretical.
• Familiarity with LangGraph, LangChain, or equivalent agentic frameworks.
• Clear, confident communication with both technical and non-technical stakeholders.
• Experience with queueing systems, data warehouses, and ETL processes is a plus.

Nice to Have

• Background in supply chain, logistics, or B2B SaaS.
• Familiarity with EDI standards, TMS/WMS systems, or carrier integrations.
• Experience with low-code workflow platforms such as n8n, Pipedream, or Temporal.
• Ability to document and communicate integration designs visually using Lucidchart, draw.io, or similar tools.

Compensation

The expected annual base salary range for this role is $70,000 - $110,000. Actual compensation will be determined based on several factors, including but not limited to experience, qualifications, skills, and business needs. In addition to base salary, this position is eligible for bonus and incentive compensation as well as participation in FourKites' employee stock option program.

Benefits

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office.

Benefits include:

• Medical, Dental & Vision benefits starting on first day of employment

• 401k Retirement savings with employer match

• Bonus and incentive compensation as well as employee stock option program

• Employer paid life insurance and short term disability insurance

• Generous PTO, global recharge days, and volunteer days

• Paid parental leave for all parents

• Family planning and inclusive wellbeing resources

• Technology reimbursement

• Commuter benefits for in-office employees (Chicago)

• Annual Wellness Stipend

• Ongoing learning & development opportunities

About FourKites

FourKites, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower® breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration. For more information, visit www.fourkites.com.

If you are a California resident, here is our California Applicant Privacy Notice. If you are a European Union resident, here is our EU Applicant Privacy Notice.

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're excited about this role but don't meet every requirement, we encourage you to apply.

What You Will Do and Learn 

We are hiring an AI Training & Enablement Lead to drive firm-wide adoption of our AI platform and agentic tools. In this role, you are responsible for end-to-end execution, not just strategy. You will design, create, and deliver the training programs, enablement materials, release communications, and change management plans that help 700+ consultants integrate AI into their daily work. 

You will own the full lifecycle of user enablement: from onboarding new users, to managing release rollouts, to measuring adoption and identifying friction points. You’ll have access to support resources, while playing a leading role in building and delivering impactful solutions. 

In this role, you can expect to: 

Training Program Design & Delivery 

• Build and maintain role-based training curricula for different personas (consultants, architects, engagement leads, practice leaders) aligned to the AI platform's capabilities and governance requirements. 

• Create hands-on workshops, quick-start guides, video walkthroughs, prompt libraries, and reference materials that consultants can use in the flow of work. 

• Facilitate live training sessions (virtual and in-person) for platform onboarding, new feature releases, and advanced use-case enablement. 

• Develop and manage an internal certification or proficiency program to track and incentivize AI skill development. 

Release Management & User Enablement 

• Own the user-facing release process: coordinate with the AI platform vendor and internal technical teams to translate product updates into clear, actionable enablement content. 

• Manage release notes, feature announcements, and "what's new" communications for each platform update. 

• Build and maintain a centralized enablement hub (knowledge base, FAQ, resource library) that serves as the single source of truth for all AI-related guidance. 

• Establish feedback loops with end users to surface adoption blockers, training gaps, and feature requests. 

Change Management & Communications 

• Design and execute change management strategy for the AI platform rollout, including stakeholder mapping, resistance planning, and leadership alignment. 

• Draft internal communications (emails, Teams updates, town hall talking points) that build excitement and reduce friction around new AI capabilities. 

• Identify and activate AI Champions across practices to scale peer-to-peer learning and create organic adoption momentum. 

• Partner with practice leaders and HR to integrate AI enablement into performance reviews, career development, and onboarding for new hires. 

Adoption Measurement & Continuous Improvement 

• Define and track adoption KPIs: active user rates, feature utilization, training completion, satisfaction scores, and time-to-value metrics. 

• Conduct regular pulse surveys and user interviews to assess enablement effectiveness and identify areas for improvement. 

• Report adoption progress and risks to leadership on a regular cadence, providing actionable recommendations. 

• Continuously iterate on training content and delivery methods based on data and user feedback. 

Skills & Experience: 

Required 

• 5-8+ years of experience in training, enablement, change management, or L&D, with at least 2 years focused on technology or platform adoption. 

• Proven ability to design and build training programs from the ground up, including curriculum development, content creation, resource design, and hands-on delivery. 

• Strong facilitation skills: you are comfortable leading workshops for groups ranging from 10 to 200 people, both virtually and in person. 

• Proven ability to translate complex technical concepts into accessible, engaging content for non-technical audiences. 

• Outstanding written and verbal communication skills, with a proven ability to craft clear, concise internal communications that effectively engage audiences. 

• Experience working in professional services, consulting, or technology firms. 

• Comfortable working in fast-paced environments with evolving priorities, and able to navigate ambiguity without a predefined playbook. 

Preferred 

• Prior experience with change management frameworks (Prosci, ADKAR, or equivalent). Certification. 

• Hands-on experience with generative AI tools (ChatGPT, Claude, Copilot, or similar). You do not need to be an engineer, but you should be a confident, daily user. 

• Experience managing enablement for SaaS platform rollouts (Salesforce, Anaplan, ServiceNow, or similar enterprise tools). 

• Familiarity with instructional design principles and e-learning authoring tools (Articulate, Loom, Camtasia, or equivalent). 

• Background in or exposure to consulting delivery models, T&M billing, and the dynamics of utilization-based businesses. 

• Experience building and activating champion or ambassador networks within large organizations. 

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

We're building the recruiting function of the future: one where decisions are informed by data, every process is optimized, and AI is embedded into how we work. As our Recruiting Operations Analyst, you'll sit at the intersection of data, systems, and emerging technology. You'll be the person who doesn't just report on what's happening in our recruiting funnel. You'll help us understand why, and increasingly, build the tools that help us act faster and smarter.

You'll own our recruiting data infrastructure, serve as a power user and admin across our tech stack, and partner closely with the Ops team to drive enablement and ROI across every tool we use. Critically, you'll bring genuine curiosity about AI not just as a user, but as someone who's excited to experiment with and build AI-assisted workflows that transform how our recruiting team operates.

WHAT YOU'LL DO

Data & analytics

• Partner and collaborate with Recruiters, Recruiting Managers, and cross-functional partners such as People Analytics, People Operations.
• Support stakeholders with recruiting dashboards to raise the proficiency level across the recruitment team — covering pipeline health, funnel conversion, time-to-fill, source effectiveness, and more
• Ensure data integrity across all recruiting systems; establish and maintain processes that keep our data accurate and trustworthy
• Translate complex data into clear, actionable insights for recruiters, hiring managers, and senior leadership
• Build enablement resources such as: reporting guides, data dictionaries, metric definitions that empower the team to self-serve on data

Systems & operations

• Serve as an admin and subject matter expert for Greenhouse ATS, including configurations, workflows, permissions, integrations, and reporting
• Help optimize our broader recruiting tech stack (Greenhouse, Workday, FindEm, CoderPad, and others), with a sharp eye on how tools work together and where the stack has gaps
• Troubleshoot data discrepancies and system issues, providing hands-on support to recruiters and hiring teams
• Support process improvement initiatives using data to identify inefficiencies and measure the impact of changes

AI & automation

• Actively experiment with AI-assisted workflows that reduce manual work, improve data quality, or accelerate recruiting processes
• Identify automation opportunities across the recruiting function and prototype solutions whether that's an AI-powered reporting pipeline, a Greenhouse integration, or a candidate communication workflow
• Contribute to the team's broader AI fluency by sharing what you're building, what's working, and what isn't

WHO YOU ARE

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

Required

• 2+ years in Recruiting Operations, Talent Analytics, People Operations, or a similar data-focused role
• Strong analytical instincts — you're comfortable working with messy data, building reports from scratch, and surfacing patterns that matter
• Hands-on experience with recruiting or HR systems (Greenhouse ATS strongly preferred)
• Proficiency with reporting tools and data visualization — Excel, Google Sheets, or BI tools like Tableau or Looker
• Genuine curiosity about AI and automation — you don't need to be an engineer, but you should be someone who tinkers, experiments, and has opinions about where AI can and can't add value
• Strong collaborator and communicator — you can tell a data story that moves people to action
• Based in Chicago, IL

Preferred

• Experience with recruiting analytics programs or KPI frameworks
• Experience with API integrations or low-code/no-code automation tools
• Familiarity with AI tools in a recruiting or HR context — whether that's prompt engineering, building GPT-based workflows, or experimenting with agent frameworks
• Experience supporting OFCCP compliance reporting or other data-driven compliance frameworks

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Purpose of the role:

Working within Pico’s and Pico’s clients’ various Data Centers in Chicago with some NY, Mexico and Canada, the role holder will be responsible for the physical build and maintenance of our environment. Working closely with our Network and Systems engineering teams and our Project Management and client Service Delivery functions to ensure prompt delivery of all projects. With a structured approach, strong team ethos and the flexibility and commitment to solve problems and get things done, the role holder will be a key member of this small but highly skilled and integral team.  A key requirement of this job is flexibility as the role holder will be expected to work in short change windows, late at night and out of hours.

Responsibilities and duties (include but not limited to)

This includes, but is not limited to the following services:

• Equipment Rack and Stack
• Cable, Label & terminate fiber or copper network cabling
• Assist with the diagnosis of hardware and software - troubleshooting
• Perform cabinet/cage audits
• Blade/Card, Memory, Hard Drive, and Transceiver installations or removal
• Testing and troubleshooting of copper and fiber optic circuits
• Perform migrations of equipment, power, or networking devices
• Shipping and receiving packages in Office and co-locations
• Receive, log, and store internal packages
• Arrange access for internal and external customers
• Order, receive, install, and test cross connects (copper/fiber)
• Provide timely updates using a computer-based ticketing system
• Perform and document inventory verification/counts and rack elevation
• Monitor and report on power utilization in co-locations
• Maintain overall Data Centre cleanliness and appearance
• Work flexible shift schedules including rotational on-call coverage
• Report to the facility within a 1hour average for emergency outage assistance
• We operate many data centers across EMEA, the candidate will be required to travel throughout Europe, sometimes on very short notice, particularly in the short term.
• Home base will be the New Jersey area

Education, Skills and background (incl. Education and Experience Requirements)

• 3+ years of experience in Telecommunications or Data Centre related field
• In depth knowledge of Telecom structured cabling standards
• In depth knowledge of network device / server deployment
• In depth knowledge of DCO standards and operations
• 3+ years use of industry standard test equipment
• Effective organizational skills and high attention to detail
• Building Management System and Branch Circuit Monitoring experience
• Strong troubleshooting skills
• Professional business communication and interpersonal skills
• Mission Critical Data Centre Facility Maintenance

Working Arrangements

The working days for this role are Tuesday to Saturday: Tuesday to Friday 4 PM to midnight and Sat 9 AM to 5 PM. Sunday availability on request.   This is a non-office-based position. Travel between data centers in New Jersey (and occasionally beyond) will be required on an on-going basis. Home base is New Jersey, where we operate out of Equinix NY4, the travel is primarily within AMRS. The role holder will be expected to work whatever hours are necessary for the performance of this role (recognizing that it involves multiple jurisdictions / geographies including but not limited to EMEA, USA and APAC).

Other important information

Physical demands of the position include:

• Lift and handle up to 50 pounds
• Bend, stoop, and stretch as required for placement and retrieval of network devices, materials, or equipment
• Work under a raised data center floor
• Climb ladders (up to a16 feet) to reach plenum spaces

IMPORTANT DATA PRIVACY INFORMATION: 

This position is available with Pico Services Inc. The controller of your personal data will be Pico Services Inc.

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About the role:

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% 
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 3+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.
• Experience working as an FDE or in a professional services context is a plus.

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

About the Role:

Most roles at the start of a career come with an onboarding deck and a defined task list. This one does not. Groupon is rebuilding how it sells — from the ground up, with AI — and the person in this role is part of that build from day one.

The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force that operates 24/7 and to make every human rep sharper the moment they step into a deal. Two layers: the first runs full sales motions autonomously — outbound, inbound triage, reactivation — so reps receive warm opportunities rather than cold lists. The second equips reps at the handoff point — context surfaced, deal history ready, next action suggested.

Reporting directly to the CSO, the GTM AI Specialist learns the full architecture, contributes to both layers, and progressively takes end-to-end ownership of agents in production. You are not joining a team that advises the business on AI. You are building the system that is the business. There is no playbook. You help write it.

North Star

Ship AI agents that run on real merchant data, prove their value in measurable terms, and make the sales organisation faster and sharper than it would be without them. The build compounds — every signal, every call, every conversion feeds back into what you build next. You are here to make that happen.

What You’ll Do:

• Build across both layers of the fleet — Layer 1: agents that run autonomously without rep involvement — outbound sequencing, lead prioritisation, inbound triage, reactivation. Reps receive warm opportunities, not cold lists. Layer 2: agents that equip reps at the moment they step in — account context surfaced, deal history ready, next action suggested. You learn how both layers work and progressively contribute to each.
• Identify what to build and make the case for it — You are not waiting to be given a task list. You look at the sales organisation, find the highest-value problem an agent could solve, and bring a structured proposal to the CSO. Judgment about what is worth building matters as much as the ability to build it.
• Test, measure, and iterate — You run experiments on real merchant data, measure whether what you built is working, identify failure modes, and refine. Every agent you touch has a documented performance trail. You do not ship and move on.
• Mine call transcripts for agent inputs — Process sales call recordings to extract patterns, category signals, and performance data. This is raw material for the agents you build — not a separate analytics workstream. You surface insights from it and design around them.
• Document and maintain what you ship — Every agent you deploy has a before/after record. You keep it current. You present it. You own what you built — not just while you're building it.

What You Bring:

• A degree from an Ivy League or equivalent top-tier university strongly preferred— computer science, data science, economics, mathematics, or a field that taught you to think in systems. The subject matters less than the rigor of how you were trained to think.
• You have built an AI agent or automated workflow — not a class project. Something you designed, built, and iterated on because you wanted to see if it would work. You can explain what it did, what broke, and what you changed. The bar is not commercial success. The bar is that you shipped something real.
• Technical capability to build: you have used LLM APIs (OpenAI, Anthropic, or equivalent), built prompt architectures, and connected systems together. Python or equivalent. You do not need to be a software engineer — but you need to be able to build a working agent without asking someone else to write the code.
• Commercial curiosity. You read about how businesses make money. You ask why something converts and why something else doesn’t. You do not need a sales background — you need the instinct to connect what you build to a GP outcome.
• Rigor with data. You do not accept a number without understanding where it came from. You build your own measurement frameworks when none exist.

Who You Are:

• Builder first — your instinct is to build, not to ask for permission. You have side projects because you were curious, not because someone assigned them.
• AI-native, not AI-curious — you have spent real time understanding what these systems can and cannot do. You know the difference between a demo and a deployed agent.
• Comfortable with ambiguity — you can start without a complete brief, identify the next right step, and keep moving. You learn faster by doing than by waiting for clarity.
• Commercially curious — you connect what you build to a business outcome. You ask why something converts and why something doesn’t. Technology is the means; impact is the goal.

You are early in your career. That is the point. If you don’t tick every box but you build, learn fast, and want to work on something that doesn’t yet exist — we want to hear from you.

How We Operate:

Five principles. Non-negotiable.

• Extreme Ownership — if an agent you’re responsible for underperforms, you own the diagnosis and the fix — not the vendor, not the backlog.
• Speed Over Comfort — you ship an experiment before you’re sure it will work. You learn from live data, not from waiting.
• Impact Obsessed — every hour of your time should connect to a GP outcome — directly or as a clear step toward one.
• Simplify to Scale — you document what you build so it can be used by someone else. Complexity you create and don’t explain is debt.
• Disciplined — you keep your data clean, your experiments rigorous, and your performance logs current. Good intentions without rigour produce noise.

How We Measure Your Success:

• Agent shipped: first working agent in production by day 90, with a documented hypothesis, performance data, and an honest assessment of what worked and what didn’t
• Quality of proposals: structured agent proposals to the CSO — ranked by commercial impact, grounded in data, specific about what gets built and how it gets measured
• Experiment rigour: every agent you deploy has a defined success metric set before go-live — not retrofitted afterward
• Learning progression: demonstrated improvement in AI build quality, commercial reasoning, and stack fluency quarter over quarter — assessed directly by the CSO
• Contribution to the fleet: at least one documented insight per month surfaced from call transcripts or agent performance data — standalone, with a recommendation

The Details:

• Base salary: 90k-120k base + 10% ABP Bonus 
• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate locations: Can be remote for the right fit, NYC strongly encouraged
• Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more
• Employee Resource Groups & inclusive team culture

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

#LI-SSS

Lead Software Engineer – Agentic Foundations (P4475, P4477)

LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Lead Software Engineer will provide hands-on technical leadership across architecture, implementation, and operations of core agentic capabilities, including agent/MCP/scorer/prompt registries, evaluation and monitoring tooling, and low-code/no-code agent platforms that abstract complexity for developers and business users. You will partner closely with product management, data science, and engineering peers and leaders to deliver enterprise-grade capabilities that accelerate time-to-value, improve quality and reliability, and promote compliant, best-practice use of agentic systems.

RESPONSIBILITIES:

• Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise
• Own technical outcomes for a more specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low-code/no-code agent platforms
• Provide in-depth technical leadership to scope and implement scalable, secure, and reliable solutions;
• Uphold standards for architecture, code quality, testing, and documentation
• Partner with the Agentic Foundations leadership, as well as engineering and data science leads, to plan quarters/cycles/sprints and ensure efficient, predictable delivery
• Work with offshore reliability engineering teams to ensure SLAs are upheld
• Occasional participation in level 2 on-call support for production systems
• Abstract complex capabilities into developer-friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption
• Drive operational excellence across platforms, including incident management, on-call support, capacity planning, and cost optimization
• Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• Professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• Professional experience with large-scale AI/ML systems, including 1+ years with GenAI and deep learning methods
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience in ambiguous environments
• Skilled in problem solving, analytic thinking, and creativity
• Skilled in planning, organization, and verbal/written business communication
• Skilled in maintaining a positive leader persona in ambiguous and changing environments
• Demonstrated excellence as a teammate and leader
• 4-6 years relevant experience
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

#LI-SSS

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