Senior AI Engineer

MiniMed is seeking a hands-on Senior AI Engineer to build and bring AI/ML models and LLM-powered agents from prototype to production in a regulated medical-device environment. The role includes integrating systems into enterprise workflows, setting reusable engineering standards, reviewing other engineers’ work, and driving adoption and platform improvements.

Responsibilities:

• Prototype fast. Demonstrate “proof of life” for AI/ML models, agents, and tools against real MiniMed business problems, working from the business’s actual data and workflows rather than a sanitized sandbox
• Take it to production and drive adoption. Build, evaluate, and deploy on the MIA stack (Databricks, LangGraph/LangSmith, enterprise agent platforms), applying evaluation-driven development, guardrails, and deployment patterns so what ships is reliable, auditable, and maintainable. You own the capability from prototype through initial production release and its first monitoring cycle — measured by real adoption and business value, not just a stable deployment — then hand off to Model Operations for steady-state run
• Integrate into the enterprise environment. Wire agents and models into the surrounding systems — APIs, identity and access (SSO/SAML/OAuth), systems of record such as Salesforce and SAP, and enterprise data pipelines — so capabilities work against real, messy production systems rather than in isolation
• Set the technical standard. Establish reusable patterns for agent design, tool-calling, retrieval, and evaluation harnesses; review and quality-gate the work of other engineers on the team so the bar holds without a manager in the loop
• Feed learnings back to the platform. Turn what you learn in the field into improvements to the MIA platform, shared tooling, and reusable-pattern roadmap, so each deployment makes the next one faster
• Self-direct against outcomes. Partner with the Product Manager, AI & Data Science to choose what to build and when to stop, without needing the problem pre-decomposed for you
• Build for a regulated environment. Uphold the safety, privacy, and compliance requirements of a medical-device context, including auditability and human-in-the-loop where required