Description

Role Summary
The GenAI / Bedrock Architect owns the technical design of generative AI solutions built on Amazon Bedrock and the broader AWS AI stack. This is a senior, customer-facing role where AWS and customer staff jointly design, build, and secure AI capabilities rather than handing
over finished artifacts. The architect defines secure, repeatable reference architectures, leads architecture and security workshops, translates business use cases into sound and governed designs, and actively enables the customer's own engineers to keep building after the engagement.
 

Key Responsibilities
 

• 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.
   

Required Qualifications

• 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
   

Preferred Qualifications

• 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.
   

Location & Travel

• 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.
   

Experience Level
 

• 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

Key Skills

Education

Any Graduate