Sr. AI Platform Lead

NRC Health

5d • Remote

About The Position

At NRC Health, we promise to help our customers bring Human Understanding to healthcare for their patients and communities. Our associates are at the heart of delivering that promise, so we promise that same Human Understanding to each other. Come where culture is everything.
Our associates. .
Have Purpose – we do work that matters for our partners, the community, and the healthcare industry.
Innovate with us to move healthcare forward.
Give back to the community with paid volunteer time off.
Think Boldly – we have big ideas and are empowered to “think like an owner.”
Fit your role and do what you love.
Grow and develop along a career path designed by you.
Feel Connected – our favorite thing about our workday is each other.
Support one another – no one says, “That’s not my job.”
Celebrate with each other at beer:30, virtual events, and company gatherings.
Be Understood – we are each unique and want to live our best lives at work and home.
Let life happen with My Time Off, a form of unlimited vacation, and up to 12 weeks paid for parental and emergency leave.
Live healthy with complimentary lifestyle and financial coaches, a wellness program, and a comprehensive insurance plan.
As a Senior AI Platform Lead, you will help build and operate NRC Health’s production AI platform. In the near term, you will play a hands-on role transitioning AI capabilities from an external vendor to full internal ownership. Over time, you will partner with product engineering teams to enable safe, scalable, and governed AI-powered features across NRC Health’s portfolio.

Requirements

• 8+ years of software engineering experience building production systems.
• Experience developing or operating LLM-based systems (e.g., RAG pipelines, orchestration frameworks, or model integrations).
• Experience building or supporting AI/MLOps infrastructure.
• Understanding of model lifecycle management, evaluation, and regression testing.
• Experience building scalable backend or platform systems.
• Familiarity with AWS infrastructure.
• Strong engineering problem-solving skills and a focus on production reliability.

Nice To Haves

• Experience working in regulated or high-trust environments.
• Familiarity with modern data platforms such as Snowflake.
• Experience supporting internal developer platforms or shared services.
• Familiarity with AWS’s AI offerings.

Responsibilities

• Taking ownership of the existing AI platform and expanding it through building and maintaining core AI platform components across the model lifecycle: training, evaluation, deployment, monitoring, and iteration.
• Implementing automated evaluation frameworks and regression safeguards.
• Supporting observability, performance monitoring, and system reliability.
• Designing and operating scalable AI/MLOps infrastructure, including: model hosting, training and evaluation pipelines, CI/CD for models and AI services, and monitoring and logging.
• Implementing architectural patterns for LLM-enabled services such as: retrieval-augmented generation (RAG), orchestration layers, and inference APIs.
• Enabling and transferring AI capabilities and feature development across product engineering teams
• Building reusable platform services and tooling that enable safe AI experimentation.
• Ensuring implementations follow platform standards for reliability, cost efficiency, and governance.
• Working with Security and Compliance teams to ensure AI systems follow PHI-safe design principles and operational requirements.

Benefits

• paid volunteer time off
• My Time Off, a form of unlimited vacation, and up to 12 weeks paid for parental and emergency leave
• complimentary lifestyle and financial coaches, a wellness program, and a comprehensive insurance plan

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed