The AI Solution Lead will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems, while ensuring governance, transparency, and responsible AI practices.

The ideal candidate combines technical depth, research awareness, and strong communication skills, enabling them to represent our company confidently in front of senior client stakeholders.

Key Responsibilities

AI Solution & Design

• Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models.
• Define designs for LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots.
• Evaluate and select appropriate models, frameworks, and infrastructure for production AI systems.
• Ensure scalability, reliability, and performance of deployed AI solutions.

Machine Learning & Model Expertise

• Provide deep technical expertise in:
• Large Language Models (LLMs)
• Transformer architectures
• Generative AI techniques
• Model evaluation and benchmarking
• Design approaches for fine-tuning, prompt engineering, and model adaptation.
• Guide teams on best practices in ML pipelines, experimentation, and model lifecycle management.

Production Deployment & MLOps

• Lead deployment of machine learning and GenAI systems into production environments.
• Architect and implement MLOps pipelines, model monitoring, and continuous improvement processes.
• Ensure AI systems are secure, scalable, and operationally maintainable.

AI Governance & Responsible AI

• Implement frameworks for:
• AI governance
• Model explainability
• Transparency
• Risk management
• Ensure compliance with enterprise AI governance standards and regulatory expectations.
• Define policies for model validation, bias mitigation, and responsible deployment.

Client Engagement & Technical Leadership

• Act as a trusted technical advisor to client stakeholders.
• Clearly communicate complex AI concepts to executives, architects, and engineering teams.
• Represent the company with credibility in technical and strategic discussions around AI adoption.
• Work closely with client teams to translate business problems into AI-driven solutions.

Research & Innovation

• Stay current with emerging developments in:
• Generative AI
• Large language models
• AI agents and agentic architectures
• AI infrastructure and tooling
• Evaluate new research and technologies to determine their practical applicability in enterprise environments.
• Help shape the organization’s AI strategy and technical direction.

Required Qualifications

• Master’s degree in Data Science, Machine Learning, Computer Science, or related field.
• Strong expertise in machine learning fundamentals and modern generative AI technologies.
• Proven experience designing and deploying AI/ML systems in production environments.
• Deep knowledge of:
• Large Language Models
• Generative AI architectures
• ML pipelines and model lifecycle management
• Experience working with AI frameworks and ecosystems used for building GenAI applications.
• Experience implementing AI governance, explainability, and responsible AI practices.
• Strong understanding of enterprise software architecture and distributed systems.

Preferred Qualifications

• Experience with agentic AI systems and orchestration frameworks.
• Experience building RAG-based AI systems.
• Familiarity with AI platform engineering and scalable AI infrastructure.
• Contributions to AI research, open-source projects, or technical publications.
• Experience working with enterprise clients in regulated industries.

Key Skills

Technical Skills

• Machine Learning & Data Science
• Large Language Models (LLMs)
• Generative AI systems
• AI agents and agentic framework
• MLOps and model lifecycle management
• AI governance and explainability

Professional Skills

• Strong analytical and problem-solving capabilities
• Excellent communication and presentation skills
• Ability to simplify complex AI concepts for diverse audiences
• Collaborative mindset and ability to work effectively within teams
• Client-facing professionalism and credibility

Work Environment

• Full-time in-office role with collaboration across engineering and client teams.
• Weekly client visits for workshops and solution design sessions.
• High collaboration with data scientists, engineers, architects, and business stakeholders.

What Success Looks Like in This Role

• Successfully designed and deliver production-grade AI systems.
• Become a trusted AI advisor to both internal teams and client stakeholders.
• Ensure responsible and governed adoption of AI technologies.
• Help organizations translate GenAI innovation into real operational value.

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 

• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 

• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 

• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 

• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 

• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

• Own architectural integrity from concept through production deployment on AWS. 

• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 

• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

Real Chemistry is looking for an Audio Engineer, Sound Innovation to join our growing team!  

21GRAMS, Real Chemistry’s advertising agency, has done a lot in its first 5+ years. Known for our creativity, we've just been ranked as the #2 creative health agency in the world by Cannes Lions. It takes a team to do ambitious things, and our ambition is to help people connect with healthcare – by making advertising less of an interruption and more worth people’s time because it actually gets them. As an agency with the full capabilities of Real Chemistry at our fingertips, we’ve got endless potential.

ROOM42, Real Chemistry’s in-house production company, is hiring an experienced Audio Production Lead to join our in-house production team. The ideal candidate will possess strong skills in sound editing and mixing. Should be familiar with audio post-production workflows - sound design and mixing for film and video, as well as podcast production. Also be comfortable leading remote recording sessions, directing talent and managing communication between team members. A requirement of this role is to have a strong interest and expertise in generative AI software and workflows related to the audio production industry.

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs. This role will work according to the Eastern Time zone.

What you’ll do: 

·       Collaborate with team members on creative and efficient ways to incorporate AI into audio production and post-production workflows.

·       Sound design, editing, and mixing for all sorts of projects, ranging from documentary-style films to scripted advertisements, talking heads, animated instructional videos, radio spots, podcasts, sonic branding, and anything else our Creatives can come up with.

·       Manage the casting, directing, recording, and editing of voiceover talent, both AI and real people.

·       Podcast Production: collaborate with team members to develop structure, format, and workflow (incorporating AI) for different podcast series. Manage all recording, editing, and mixing.

·       Contribute and collaborate in a high-volume, fast-paced team environment, maintaining high standards of audio quality.

·       Maintain freshness, creative excellence, and innovation to uphold and enhance the brand.

·       Stay updated on trends and advancements in audio production, post-production, and sound design (especially utilizing generative AI), using this knowledge to inform work and push creative boundaries.

·       Direct and manage the work of outside contractors and freelancers as needed.

This position is a perfect fit for you if: 

·   ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you. 

·   You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving. 

·   You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data. 

·   You are highly organized self-starter, able to work independently and under tight deadlines. 

What you should have:  

·       4+ years of professional experience in audio post-production (experience in a corporate environment, agency – specifically healthcare agency is a plus but not required).

·       Background in music production – a plus but not required.

·       Proficiency in Pro Tools required, familiarity with Adobe Suite is an advantage.

·       Comprehensive knowledge of the latest audio production tools, both traditional and those utilizing AI.

·       Expertise in voiceover recording, directing, and editing.

·       Proficiency with Microsoft Suite, Box, and Frame.io in a corporate environment and the ability to quickly learn and incorporate new software and systems.

·       Strong understanding of broadcast, digital, social, and standard delivery specifications.

·       Excellent communication skills, including the ability to articulate creative concepts and rationale for clients and the team.

·       Exceptionally high creative standards, balanced with an understanding of timeline and budget constraints.

Pay Range: $,100,000 - $115,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time.

COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

About the role:

We are looking for a Senior Data Scientist to work on and lead complex data analysis projects using standard modelling, data transformation approaches and Generative AI. 

They should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation and has the potential to move fast onto a high-growth career trajectory. Our future colleagues must have excellent communications skills as well as being able to visualize and present complex Data Science solutions for the main (C-level) stakeholders of the projects. Leadership experience and charisma are huge advantages.

Key responsibilities will include:

• Designing and Delivering Solutions for a defined Data Science Related Problem
• Present the results / Prepare Presentations for the Project Stakeholders
• Create reusable documentations, presentations and code libraries during the projects
• Participating in internal education and research tasks
• Leading smaller data science tasks with the help of internal leadership and PMO

To succeed in this role, you should fulfill the following requirements:

• More than 8 years of overall experience in data science field.
• Experience in the life sciences industry is preferred
• Mathematics, Statistics, Economics, Computer Science, Engineering or related degree (MSc or PhD is preferred)
• Understanding complex Data Science Solutions
• Solid knowledge of probability theory, statistics, data science algorithms and their application in Customer Retention, Campaign Management etc. areas
• Good Communication (both verbal and written) and Data Visualization Skills
• Coding abilities at least one of the following languages: Python (preferred), R, SAS, C, JAVA (or similar)
• Solid experience in LLM / NLP

Why You Will Love It Here: 

• Work on real-world AI and advanced analytics solutions with measurable business impact.
• Collaborate with a global team of engineers and data scientists.
• Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
• A collaborative culture that values real outcomes
• High ownership, zero micromanagement
• Rapid learning opportunities and diverse challenges
• Flexible work hours, remote-friendly setup
• Flat organisational hierarchy with high visibility and accessibility to our leaders

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

The Senior Solution Architect will be responsible for leading the end-to-end architecture, design, and delivery of scalable, secure, and cloud-native applications aligned with client program objectives. This role requires strong hands-on technical expertise across full-stack development, cloud platforms, application integration, and modern AI-driven architectures, along with the ability to collaborate across business and technology stakeholders.

• Lead architecture design and implementation of enterprise-grade applications aligned with client business objectives and program goals.
• Define and govern solution architecture across backend, frontend, integration, security, and cloud layers to ensure scalability, performance, and quality.
• Collaborate with cross-functional teams including product owners, engineering, security, data, and infrastructure teams to deliver integrated solutions.
• Oversee backend and frontend web development, ensuring adherence to coding standards, best practices, and architectural guidelines.
• Drive application integration patterns, API strategies, and security enhancements, including identity and access management.
• Ensure alignment of development strategies, technical roadmaps, and architectural decisions with overall client program objectives.
• Conduct requirements gathering, translate business needs into technical solutions, and produce clear technical and architectural documentation.
• Oversee solution delivery, providing technical leadership, design reviews, and guidance throughout the development lifecycle.
• Design and enable solutions that leverage generative AI and agentic AI workflows, ensuring architectural compatibility, scalability, and responsible use.
• Provide thought leadership on emerging technologies, cloud-native patterns, and AI-driven solution design.

Technical Skills

• Hands-on expertise in .NET Full Stack Development.
• Strong proficiency in Angular Framework for frontend web development.
• Solid experience in Backend and Frontend Web Development with scalable design patterns.
• Strong understanding of Application Integration (APIs, messaging, services) and Security best practices.
• Hands-on knowledge of Microsoft Entra (Azure AD) for identity, authentication, and authorization.
• Experience integrating AI agentic workflows into enterprise applications.
• Strong knowledge of Microsoft Azure Cloud, including cloud-native architectures and services.
• Demonstrated experience with Cloud & Virtualization technologies.
• Good understanding of Data Architecture, including data modeling, data flows, and governance considerations.
• Familiarity with designing and implementing scalable systems leveraging Generative AI technologies.

Domain & Additional Experience

• Background or understanding of Accounting & Auditing concepts and processes is a strong plus.
• Experience working in complex enterprise environments with multiple stakeholders.
• Ability to balance hands-on technical work with architectural governance and strategic thinking.