Software Engineer | Forward Deployed Health (AI)

Location: New York City, United States. Regular travel to work directly with Mayo Clinic teams is required.

Base salary in the New York City metropolitan area: USD $188,000–$304,200 per year.

Company

Microsoft AI develops artificial intelligence products, platforms, and engineering solutions, including healthcare-focused collaborations.

What you will do

• Lead forward-deployed engineering for the Microsoft AI and Mayo Clinic collaboration from discovery and architecture through implementation, deployment, and operational adoption.
• Build integrations, data pipelines, and platform capabilities across clinical data platforms, APIs, identity boundaries, and legacy enterprise systems.
• Architect and evaluate production AI systems using frontier models, context engineering, retrieval, tool use, orchestration, data platforms, and deterministic services.
• Stay hands-on with code and infrastructure while solving integration, data, reliability, and production-platform challenges.
• Drive delivery across both organizations, resolving technical dependencies, disagreements, and risks.
• Turn deployment learnings into reusable platform investments, integration patterns, tooling, and product-roadmap recommendations.

Requirements

• Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience, or equivalent experience.
• Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
• Experience designing and operating distributed systems, data platforms, and integrations across large enterprise architectures and datasets.
• Experience building production LLM or machine-learning systems, including context engineering, retrieval, tool use, orchestration, and evaluation.
• Strong technical communication skills, including explaining architecture, trade-offs, risks, and results to implementation teams, senior executives, and C-suite leaders.

Nice to have

• Experience in forward-deployed, field, customer, or embedded technical-delivery engineering.
• Experience deploying solutions for healthcare providers, payers, life-sciences organizations, or other highly regulated enterprises.
• Experience with electronic health records, clinical data platforms, healthcare interoperability, or longitudinal health datasets.
• Machine-learning or applied-science experience with adapting, evaluating, or deploying foundation models on domain-specific data.

Culture & Benefits

• Work closely with teams across Microsoft AI and Mayo Clinic in a complex partner environment.
• Lead through technical judgment, code, architecture, influence, and delivery rather than formal authority.
• Benefits and additional compensation may be available depending on role eligibility.
• Applications are accepted on an ongoing basis until the position is filled.