Solutions Architect - AI

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 Agent Core, AWS Strands Agents, AWS Agent Core 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.

• 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 Agent Core, AWS Strands Agents, and AWS Agent Core Gateway.
• Design advanced RAG, Agentic RAG, and multi‑agent orchestration architectures leveraging AWS‑native services such as Lambda, Step Functions, API Gateway, Dynamo
  
  DB, Aurora (pgvector), and Open Search.
• 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, Sage Maker, and serverless services.
• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, Private Link) and cost optimization principles.

• 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 Sage Maker models), latency, cost, governance, and compliance. Accelerate time‑to‑value through reusable AWS accelerators, Infrastructure as Code (Cloud Formation/Terraform/CDK), and CI/CD automation.
• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new Agent Core capabilities).

• 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 Sage Maker, Cloud Watch, Cloud Trail, 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.

• 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.

• 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 Agent Core, AWS Strands Agents, Agent Core Gateway, and related AWS AI services.
• Strong familiarity with Sage Maker (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, Cloud…