Description

You will own the strategy, architecture, and implementation of agentic AI systems for Healthcare Digital.

Responsibilities

• Design and manage MCP servers providing structured, secure tool access for AI agents across operational platforms.
• Build multi-agent systems with defined roles (planning, QA, data-retrieval, copilots) collaborating on healthcare workflows.
• Integrate agent-driven capabilities into platforms like Patient Meal Ordering, Food Production, and EVS Task Management.
• Build and deploy predictive models to feed agent decision-making, enabling closed-loop automation.
• Coach and mentor a team of data scientists, ML engineers, and AI engineers focusing on agent development.

Required Skills

• 6+ years of experience in data science, AI engineering, or applied ML, including 2+ years in team leadership.
• Hands-on experience building agentic AI systems, including multi-agent workflows and tool-using agents.
• Strong experience with MCP servers or similar agent integration frameworks (e.g., LangChain tools, AutoGen).
• Proficiency in Python and SQL.
• Expertise with ML frameworks including PyTorch, TensorFlow, and SciKit-learn.
• Experience with cloud data platforms such as AWS, GCP, or Azure.
• Strong understanding of LLMs, RAG pipelines, and structured tool protocols.
• Experience ensuring AI adherence to governance frameworks, including HIPAA.

Key Skills

Education

Bachelor's degree