AI Lead / AI Architect with Health care Domain Experience: Remote

Remote • Posted 21 hours ago • Updated 21 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Access Control
  • Amazon Web Services
  • Analytics
  • Artificial Intelligence
  • Customer Facing
  • Data Integration
  • Databricks
  • Generative Artificial Intelligence (AI)
  • Health Care
  • IT Management
  • Information Security Governance
  • Medicaid
  • Meta-data Management
  • Microsoft Certified Professional
  • Natural Language
  • Optimization
  • Orchestration
  • Pharmacy
  • Prompt Engineering
  • SQL
  • Scalability
  • Screening
  • Solution Architecture
  • Technology Assessment
  • Unity
  • Workflow

Summary

AI Lead / AI Architect

Healthcare | AWS Bedrock | Agentic AI

Domain Healthcare / Medicaid

Level Senior / Lead Role Type AI Architecture / Technical Lead

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 LangGraph 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.

TA Screening Priority: Prioritize candidates with the combination of AWS Bedrock + Agentic AI + Healthcare.

Databricks/Unity Catalog and Medicaid/Pharmacy/PBM should be treated as strong preferences rather than strict elimination criteria.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10339744
  • Position Id: 9090841
  • Posted 21 hours ago
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