AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
About the role
- Senior Lead Data & AI Engineer developing scalable data engineering frameworks for Vanguard. Managing AI deployments and orchestration using Databricks and cloud-native services.
Responsibilities
- Architect and build reusable, metadata-driven data and AI engineering frameworks
- Leverage Databricks, lakehouse architecture, declarative pipelines, and cloud-native services
- Architect and deploy Delta Live Tables and Lakeflow jobs on Databricks
- Leverage Databricks Workflows and Job Orchestration to schedule and monitor AI agent deployments
- Integrate Lakeflow for real-time data stream processing
- Ensure seamless orchestration between AI models and data pipelines
- Implement and orchestrate AI agents using frameworks such as Agentic systems, AgentOps tooling
- Hands-on experience deploying AI agents using RAG, Graph RAG, MCP-enabled integrations
- Manage AI agent lifecycles, monitoring, and scaling using tools like SageMaker
- Ensure robust data governance and AI observability through Unity Catalog, AWS Glue
Requirements
- 9–12+ years in data engineering, specializing in AI deployment within cloud ecosystems (Databricks, AWS)
- Hands-on experience deploying AI agents using frameworks like RAG, graph RAG, and orchestrating agents (AgentOps, Agent-bricks, etc.)
- Proficient in AWS AI/ML services (SageMaker, Bedrock) and orchestration tools (MWAA, Step Functions)
- Strong knowledge of lakehouse architecture, Unity Catalog, and data modeling best practices
- Deep experience in data orchestration, monitoring, and scalable AI-driven workflows.
Benefits
- Flexible working arrangements
- Professional development
- Health insurance
- Retirement plans
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