Forward Deployed Engineer, Health (AI)

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

Salary: USD $188,000–$304,200 per year in the New York City metropolitan area. The general U.S. base pay range is USD $142,800–$274,800 per year.

Company

Microsoft AI develops AI models, products, and services, including a healthcare collaboration with Mayo Clinic focused on a frontier AI model.

What you will do

• Lead forward-deployed engineering for the Mayo Clinic collaboration from discovery and architecture through implementation, deployment, and operational adoption.
• Build relationships across Microsoft AI and Mayo Clinic and turn ambiguous technical goals into executable plans.
• Design integrations, data pipelines, and platform capabilities across clinical data platforms, APIs, identity boundaries, and legacy enterprise systems.
• Architect and evaluate production AI systems combining frontier models, retrieval, tool use, orchestration, context engineering, data platforms, and deterministic services.
• Remain hands-on with code and infrastructure while solving integration, data, reliability, and production-platform problems.
• Convert deployment learnings into reusable infrastructure, 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.
• 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 programming ability, preferably including Python, with experience in complex production systems and technical leadership.
• Ability to lead through influence and communicate technical decisions, progress, risks, and results to implementation teams and C-suite audiences.

Nice to have

• Experience in forward-deployed, field, customer, or embedded technical-delivery engineering.
• Experience deploying systems for healthcare providers, payers, life-sciences organizations, or other regulated enterprises.
• Experience with electronic health records, clinical data platforms, healthcare interoperability, or longitudinal health datasets.
• Experience with Kubernetes, Databricks or Spark, infrastructure as code, and observability.
• Experience converting partner-specific solutions into reusable platforms, tooling, or integration frameworks.

Culture & Benefits

• Work directly 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.
• Applications are accepted on an ongoing basis until the position is filled.