Senior AI Engineer

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.

We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued.

Medica is seeking a hands-on Senior AI Platform Engineer to help build and scale our next-generation AI agents and infrastructure. You'll work on complex systems that power AI-driven healthcare solutions - for our members, providers and employees, that improve the healthcare experience end-to-end. This role is ideal for hands on builders who thrive on ownership, love solving technical and business problems, and are on the cutting edge of software. Performs other duties as assigned.

Key Accountabilities

• Design, implement and deploy AI pipelines, systems and platforms - from evaluation design and benchmarking through product integration-ensuring performance, reliability and end-to-end safety and transparency
• Prototype, build and operate cutting edge product, and consumer facing AI systems, pushing state-of-the-art to solve our core healthcare and technical challenges
• Contribute to technical decision-making and architectural discussions for AI and data platforms. Upload high engineering standards and share best practices in code review and design discussions
• Stay up to date with the latest research and developments in A. Evaluate new approaches or tools and drive their adoption when they can advance our capabilities. Help evangelize to the organization accordingly

Required Qualifications

• Bachelor's degree or equivalent experience in related field
• 8 years of work experience beyond degree

Preferred Qualifications

• Minimum of 3 years of experience building production grade software with Python, Go, or equivalent
• Proven ability to create, manage and scale public cloud infrastructure in AWS/Azure/GCP
• Experience deploying infrastructure via Terraform or another declarative tool
• Familiarity with containerization & orchestration including Docker, K8s, Helm
• Modern DevOps tooling including Github Actions, Prometheus + Grafana, Open Telemetry

This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week.

The full salary grade for this position is $111,200 - $190,600. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $111,200 - $166,740. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.