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. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

• Brief Summary of Work:
  • At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. 
    
    This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. 
    
    
    
    
    
    About You 
    
    You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle. 
    
    Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers. 
    
    
    
    
    
    
    
    
    
    What You’ll Do 
    
    Modeling & Advanced Analytics 
    
    Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). 
    Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. 
    Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact. 
    
    Data Exploration 
    
    Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. 
    Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. 
    Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions. 
    
    Partnership & Enablement 
    
    Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. 
    Mentor junior data scientists, supporting technical development and scientific rigor. 
    Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact. 
    
    
    
    
    
    Qualifications & Experience 
    
    7+ years of professional experience in data science, statistics, and applied machine learning. 
    Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies. 
    Building and deploying Data Mesh architectures. 
    Strong experience in AWS tools and infrastructure and cloud AI and data tools essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage. 
    
    Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks. 
    Proven track record in statistical modeling, time series forecasting, NLP, or optimization. 
    Experience designing and analyzing controlled experiments (A/B testing, uplift modeling). 
    Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering. 
    Experience with tools such as Databricks, SageMaker, and Snowflake is essential. 
    Experience of Palantir would be an advantage. 
    AWS cloud certifications or ML specialization credentials are an advantage. 
    
    Core Competencies 
    
    Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically. 
    Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy. 
    Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy. 
    Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes. 
    Communication – Explains technical results clearly and persuasively to diverse audiences. 
    Team Collaboration – Works effectively across functions and time zones; contributes to a culture of openness and shared learning. 
    
    
    
    
    
    Why Join Robots & Pencils? 
    
    At R&P, we don’t just build software; we help our clients build the future. We are a diverse, globally distributed team that thrives on solving challenging problems and delivering exceptional results. If you're a data scientist who’s excited about building intelligent systems that deliver measurable impact, we’d love to hear from you.
• Tech stack:
  • Python, TensorFow/PyTorch, Data Mesh, AWS, Databricks, SageMaker, Snowflake

Client Partner 

Location: US based | Travel: Regular 

 
Robots & Pencils is growing, and we’re looking for dynamic client partners. We help clients achieve real outcomes through cloud-native infrastructure, human-centered design, and pragmatic AI, and now we need more leaders to take Robots & Pencils to the next level. 

What you’ll do 

• Own a portfolio of clients with responsibility for client P&Ls, client success, client delivery, and set multi-year client strategy; meet or exceed revenue and margin targets. 

• Build and deepen C-suite relationships, serving as executive sponsor and trusted advisor across accounts. 

• Represent R&P at client and industry forums, elevating market presence and thought leadership. 

• Win complex, high-value deals through strategic negotiation; shape offerings and pricing to unlock growth. 

• Oversee delivery strategy across all accounts in your portfolio; align outcomes to long-term client goals. 

• Resolve critical escalations with minimal disruption; drive portfolio-wide delivery innovation and best practices. 

• Shape go-to-market with Sales & Marketing, including pipeline planning, forecasting, resourcing, and multi-year growth plans. 

• Mentor Associate Partners and Directors, building leadership pipelines and scalable mentorship frameworks. 

• Create cross-vertical offerings and contribute to the firm’s innovation roadmap and delivery standards. 

What we’re looking for 

• 15+ years in consulting/digital/technology services, including senior ownership of enterprise portfolios or verticals with P&L accountability. 

• Proven record of multi-million-dollar growth, complex deal wins, and sustaining executive (VP/C-suite) relationships. 

• Depth in digital product, cloud, data/AI, and experience design, translating technology into measurable business outcomes. 

• Operational mastery across forecasting, pricing, utilization, and margin management. 

• Success leading globally distributed delivery (onshore/offshore) and shaping delivery practices at scale. 

• Demonstrated market presence (speaking, publishing, alliances) that builds external visibility for the firm. 

• Flexibility for regular travel. 

• MBA and/or certifications (PMP, PgMP, SAFe) are a plus—impact and outcomes matter most. 

Personal competencies 

• Results Driven – Delivers transformative client impact and results. 

• Enterprise-minded – Balances portfolio targets with firm strategy. 

• Executive presence – Communicates with clarity; sustains C-suite trust. 

• Strategic & analytical – Turns market signals into actionable plans. 

• Builder – Designs offerings, teams, and mechanisms that scale. 

• Innovator – Advances delivery practices that become benchmarks. 

• People developer – Creates enduring leadership pipelines. 

Why Robots & Pencils? 

We don’t just deliver projects; we build partnerships that transform organizations. Join a global team of strategists, designers, and engineers creating meaningful, scalable, human-centered solutions—while owning a portfolio that shapes how we grow, how we deliver, and how the market experiences Robots & Pencils. 

About the Role 

At Robots & Pencils, we build digital platforms that blend strategy, engineering, and experience design. We are seeking a Fullstack Contentful Content Architect to design and evolve structured content systems supporting a unified digital ecosystem spanning web, mobile, and kiosk experiences. 

In this role, you’ll partner closely with engineering, UX, product, and platform teams to create scalable content models, governance frameworks, workflows, and multi-environment architectural standards. You’ll ensure Contentful becomes a flexible and reliable foundation supporting personalized guest journeys, real-time itinerary logic, and seamless end-to-end experiences. 

This role is ideal for someone who thrives at the intersection of content systems, product architecture, and technical implementation—and who enjoys shaping structured digital ecosystems that evolve and scale over time. 

Key Responsibilities 

Content Modeling & Structured System Architecture 

• Design modular, scalable, future-proof content models aligned to front-end rendering patterns and platform needs. 

• Define localization strategies, taxonomy patterns, approval workflows, governance rules, and editorial roles. 

• Ensure alignment between schema evolution, product roadmap, and platform growth. 

Editorial Workflow Design & Experience Enablement 

• Collaborate with UX and product teams to ensure the authoring environment is intuitive, maintainable, and supports real-time preview needs. 

• Configure validation rules, automation, and extensions to optimize editorial productivity and accuracy. 

• Lead training, workshops, and documentation for content governance and best practices. 

Integration & Platform Collaboration 

• Partner with engineers to align data modeling with API schemas, rendering logic, and deployment workflows. 

• Validate Contentful-based structures in the context of headless front-end development (Next.js/Vercel) and middleware integrations (MuleSoft). 

• Participate in QA and implementation cycles to validate data integrity, content readiness, and rendering fidelity. 

Governance, Documentation & Continuous Refinement 

• Create and maintain documentation for patterns, naming conventions, workflows, and lifecycle rules. 

• Audit content structure health and implement refinement strategies based on usage patterns and platform evolution. 

• Help establish reusable content frameworks, enabling sustainable growth across product surfaces. 

Required Skills & Experience 

• 5+ years of structured content or headless CMS experience (Contentful strongly preferred). 

• Experience designing schemas, workflows, governance frameworks, and multi-environment publishing models. 

• Familiarity with REST/GraphQL APIs, content deployment scripts, and CI/CD integration considerations. 

• Experience collaborating with engineering, UX, and product teams delivering large-scale digital platforms. 

Travel Requirements: Occasional, based on workshops or collaboration needs 

Soft Skills & Behaviors 

• Strong communication and workshop facilitation skills 

• Empathy for both content authors and end users 

• Systems thinking with a product mindset 

• Adaptability and comfort with ambiguity 

• Calm problem-solving and low-ego collaboration 

• Commitment to quality and long-term maintainability 

Why Join Robots & Pencils? 

You’ll contribute to one of the most visible and technically ambitious platform programs in the organization—helping build a scalable, flexible content system powering seamless cross-property digital experiences. If you’re passionate about structured content, orchestration patterns, and designing modern composable ecosystems, we’d love to talk.