Software Engineer, Forward Deployed Health
About The Position
We are looking for a Forward Deployed AI Engineer to join the Microsoft AI Health team and play a leading technical role in the collaboration with the Mayo Clinic. This is a very senior, deeply hands-on individual-contributor position at the intersection of Applied AI, platform engineering, data engineering, and forward-deployed delivery. You will act as a technical lead for the engineering work between Microsoft AI and Mayo Clinic. You will embed closely with teams across both organizations, understand a complex environment of clinical data platforms and legacy systems, and identify the shortest path from ambiguity to working AI capabilities. You will lead through technical judgment, code, architecture, influence, and delivery rather than formal authority. The role is based in New York and will initially focus exclusively on the Mayo Clinic collaboration. Regular travel to work directly with Mayo Clinic teams will be required.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 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.
Nice To Haves
- Ability to lead through influence in a complex partner environment and communicate technical decisions, progress, and risks to C-suite audiences.
- Experience in a forward-deployed engineering, field engineering, customer engineering, or similarly embedded technical-delivery role.
- Experience leading deployments with healthcare providers, payers, life-sciences organizations, or other large, highly regulated enterprises.
- Experience with electronic health records, clinical data platforms, healthcare interoperability, or longitudinal health datasets.
- Strong machine-learning or applied-science foundations, including experience adapting, evaluating, or deploying foundation models on domain-specific data.
Responsibilities
- Serve as a senior technical lead for the forward-deployed engineering effort with Mayo Clinic, owning complex work from discovery and architecture through implementation, deployment, and operational adoption.
- Build deep relationships across Microsoft AI and Mayo Clinic, learn Mayo's clinical and technical environment, and turn ambiguous goals into executable plans.
- Design and build integrations, data pipelines, and platform capabilities across clinical data platforms, APIs, identity boundaries, and legacy enterprise systems.
- Architect and evaluate production AI systems that combine frontier models, context engineering, retrieval, tool use, orchestration, data platforms, and deterministic services.
- Stay deeply hands-on in code and infrastructure, solving difficult integration, data, reliability, and production-platform problems.
- Drive delivery across both organizations, resolving technical disagreements, dependencies, and risks.
- Communicate architecture, progress, trade-offs, risks, and results clearly to audiences ranging from implementation teams to senior executives and C-suite leaders.
- Turn learning from the Mayo Clinic deployment into reusable platform investments, integration patterns, tooling, and product-roadmap recommendations.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
