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, encryption,logging, 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.