VP of 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, DynamoDB, 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.
• 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…