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AI Lead / AI Architect(Healthcare | AWS Bedrock | Agentic AI)- Remote - 6 Months
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
2 days ago
SQLAWSDatabricksGenerative AILLMUnity
Job Description
AI Lead / AI Architect - Healthcare | AWS Bedrock | Agentic AI
Remote
6 months to go
Domain: Healthcare/Medicaid/ Pharmacy
Role Summary
We are looking for a senior AI Lead / Architect to lead the design and implementation of an enterprise Agentic AI solution for a healthcare client. The role requires strong hands-on experience with AWS Bedrock, GenAI/LLM architecture, agent orchestration, enterprise data integration, and customer-facing technical leadership.
Must-Have Skills
- Strong hands-on experience with AWS Bedrock.
- Experience designing Generative AI / Agentic AI solutions.
- Experience with Lang Graph or a similar agent orchestration framework.
- Strong understanding of LLM agents, tool/function calling, RAG, prompt engineering, and context engineering.
- Experience integrating AI solutions with APIs and enterprise data platforms.
- Strong solution architecture and customer-facing technical leadership skills.
- Healthcare domain experience.
- Understanding of security, PHI/PII, access control and AI governance.
Strongly Preferred
- Medicaid, Pharmacy or PBM experience.
- Experience leveraging Databricks Unity Catalog as the context/metadata plane for AI systems, with Databricks Medallion Architecture as the governed data source for GenAI / Agentic AI solutions.
- Amazon Bedrock AgentCore.
- MCP (Model Context Protocol).
- Natural Language-to-SQL / conversational analytics.
- Multi-agent / supervisor-agent architecture.
Key Responsibilities
- Own the end-to-end AI solution architecture.
- Lead AWS Bedrock and Agentic AI implementation.
- Design agent workflows and enterprise data integrations.
- Lead and guide AI Engineers through design and implementation.
- Work directly with client architecture, engineering, and business teams.
- Ensure scalability, security, governance, observability, and cost optimization.
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