Senior AI Engineer

Overview

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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. 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, improving 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.

The position may perform other duties as assigned.

• 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 core healthcare and technical challenges
• Contribute to technical decision-making and architectural discussions for AI and data platforms. Uphold high engineering standards and share best practices in code review and design discussions
• Stay up to date with the latest research and developments in AI. Evaluate new approaches or tools and drive adoption when they advance our capabilities, and evangelize to the organization accordingly

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

• 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, Kubernetes, Helm
• Modern Dev Ops tooling including Git Hub Actions, Prometheus + Grafana, Open Telemetry

• Strong opinions on agent frameworks and ability to explain when to use them (or when/why not to)
• Ability to explain agent workflows such as orchestrator-workers, evaluator-optimizer, and prompt chaining
• Experience with evaluations for AI systems (accuracy, bias, security, function calling accuracy)
• Ability to justify decisions between RAG, prompt engineering, and fine-tuning
• Experience with modular agent architectures where specialized agents communicate
• Perspective on when to leverage generative AI
• Experience with healthcare data, HIPAA compliance, or regulated environments
• Familiarity with AI tooling colleagues may use or prefer

This position is an office role, requiring 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. The typical hiring salary range is between $111,200 - $166,740, with placement depending on education, experience, certifications, scope of role, internal pay equity and external market data. In addition to base compensation, this role may be eligible for incentive plan compensation. Medica offers a generous total rewards package including medical, dental, vision, PTO, holidays, paid volunteer time off, 401K contributions, caregiver services and additional benefits.

The compensation and benefits information is provided as of the posting date and are subject to change at any time, with or without notice, in accordance with 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 regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

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