AI Engineer (Health Care Exp Mandatory)

Role: AI Engineer

Location: Remote

Duration: 12 + Months

Domain: Healthcare / Medicaid

Technology Focus: AWS Bedrock, Agentic AI, Python, Databricks

Role Summary

We are looking for a hands-on AI Engineer to build enterprise Generative AI and Agentic AI capabilities for a healthcare analytics platform. The engineer will work closely with the AI Architect to implement conversational AI, agent workflows, governed enterprise-data access, and production-ready integrations using AWS Bedrock.

Key Responsibilities

• Build Generative AI and Agentic AI capabilities using AWS Bedrock.
• Develop AI agents, multi-step workflows, tool/function calling, and orchestration components.
• Implement prompt engineering, context management, RAG/grounding, and response-validation patterns.
• Integrate AI services with enterprise APIs, structured data sources, Databricks, and Unity Catalog.
• Support natural-language interaction with enterprise data, including conversational analytics and NL-to-SQL use cases.
• Implement secure data-access patterns, guardrails, retry/fallback handling, logging, and observability.
• Work with the AI Architect, ReactJS developers, QA, and client technical teams to deliver end-to-end AI use cases.
• Support healthcare security and privacy requirements, including PHI/PII protection and role-based access.
• Participate in technical design, code reviews, troubleshooting, testing, and production-readiness activities.

Must-Have Skills

• Strong hands-on experience with AWS Bedrock.
• Hands-on experience building Generative AI / LLM applications.
• Experience with Agentic AI, AI agents, and tool/function calling.
• Strong Python development skills.
• Prompt engineering, context engineering, RAG, and grounding techniques.
• REST API and enterprise integration experience.
• Experience working with structured enterprise data and SQL.
• Understanding of AI security, scalability, monitoring, and production deployment.
• Strong debugging, problem-solving, and technical communication skills.

Preferred Skills

• Databricks and Unity Catalog experience.
• Experience leveraging Unity Catalog as a context / metadata plane for AI systems.
• Experience using Databricks Medallion Architecture as the governed data source for AI applications.
• LangGraph or a similar agent orchestration framework.
• Amazon Bedrock AgentCore and Bedrock Guardrails.
• MCP (Model Context Protocol) and enterprise tool integration.
• Natural Language-to-SQL / conversational analytics.
• Vector databases, semantic search, AI observability, and model evaluation.
• Healthcare / Medicaid / Pharmacy or other regulated-domain experience.