Principal AI Engineer — Build & Deploy Production AI

MiniMed Group

Atlanta, Northern (GA, KY)

Hybrid

USD 150,000 - 260,000

Full time

10 days ago
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Benefits offered by this job

Health insurance
401(k) plan with company match
Paid time off

Job summary

MiniMed is building a lean, high-leverage AI & Data Science team and seeks a Principal AI Engineer to lead hands-on AI/ML work, deploying models and agents from prototype to live production in a regulated medical-device context.

You will review designs, establish reusable patterns, and ensure end-to-end ownership, with collaboration across Product, AI & Data Science, and Model Operations for steady-state operation.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field with 8+ years of experience (or advanced degree with 6+ years).
  • Demonstrated delivery of ML/AI models to production and end‑to‑end ownership of AI/ML systems.

Responsibilities

  • Prototype fast; prove life for AI/ML models, agents, and tools using real data and workflows.
  • Take models to production; deploy on the MIA stack with guardrails and observable patterns.
  • Integrate AI components with enterprise systems (APIs, SSO/SAML/OAuth, Salesforce, SAP).
  • Establish reusable patterns for agent design, tool-calling, retrieval, and evaluation harnesses.
  • Contribute learnings to platform improvements and roadmap for rapid future deployments.
  • Partner with PM to decide what to build and when to stop, in a regulated environment.

Skills

System design
Leadership
Stakeholder comms
Review & gate other engineers
MLOps

Education

Bachelor’s degree in CS/Engineering

Tools

Databricks
LangGraph/LangSmith
Vector databases
RAG retrieval

Job description

MiniMed is building a lean, high-leverage AI & Data Science team and seeks a Principal AI Engineer to lead hands-on AI/ML work, deploying models and agents from prototype to live production in a regulated medical-device context.

You will review designs, establish reusable patterns, and ensure end-to-end ownership, with collaboration across Product, AI & Data Science, and Model Operations for steady-state operation.

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