GenAI Bedrock Architect

This is a remote position.

• Define secure repeatable AI reference architectures spanning Amazon Bedrock Amazon Q Business and Amazon QuickSight as appropriate to the selected use cases.
  
• Design generative AI patterns including foundation model selection criteria prompt and grounding design RAG pipelines agentic workflows and tool/function calling.
  
• Establish the secure AI foundation: identity role-based access encryption logging data-boundary controls and audit patterns working with the Security Architect.
  
• Define guardrails content filtering prompt-logging policy human-review patterns and responsible-AI controls accounting for data classification and PHI/PII handling.
  
• Set the model and retrieval evaluation strategy and quality metrics including citation and grounding expectations and oversee iterative tuning.
  
• Produce production-readiness gap analysis and a hardening/productionization roadmap.
  
• Lead architecture and security review workshops demos and enablement office hours with the customer and stakeholders presenting trade-offs in clear accessible terms.
  
• Enable and upskill the customer's engineering teams through paired design work including spec-driven development and MCP-based workflows.
  
• Provide technical direction to AI Application Engineers and Data/Search Specialists and produce reusable architecture artifacts reference patterns and documentation.
  

• Strong hands-on experience designing and delivering generative AI solutions ideally on Amazon Bedrock or comparable foundation-model platforms.
  
• Deep understanding of LLM application patterns: RAG agents prompt engineering function/tool calling grounding/citation and model evaluation.
  
• Solid grounding in the broader AWS stack including IAM networking storage encryptionlogging and security fundamentals not just the AI services.
  
• Experience defining guardrails evaluation frameworks and responsible-AI / governance controls including data classification and PHI/PII handling.
  Excellent communication and stakeholder-facing skills; able to lead architecture and security workshops and explain technical concepts to mixed audiences.
  
• Proven ability to operate as a technical lead across a small delivery team.
  
• Demonstrated experience enabling and upskilling customer engineering teams through paired delivery not just shipping solutions.
  
• Familiarity with spec-driven development workflows and MCP (Model Context Protocol) based tooling.
  
• Please provide a list of current AWS certifications
  

• Experience delivering AI solutions in regulated or public-sector / government environments.
  
• Familiarity with Amazon Q Business and QuickSight and with enterprise knowledge and BI patterns.
  
• Experience integrating with the Microsoft 365 ecosystem (SharePoint Exchange/Outlook Teams OneDrive) and tools such as ServiceNow Jira Dynatrace or Wiz.
  
• Background in MLOps CI/CD or infrastructure-as-code on AWS.
  

• This is a US-only position; candidates must be authorized to work in and based in the United States.
  
• The role is primarily remote but may require travel up to 20% during the engagement for on-site workshops and customer sessions.
  

• Senior. Typically 10 years overall with significant recent experience in AI/ML and cloud architecture. This is the technical anchor for the engagement and must hold up to customer and partner scrutiny.