Location type
Onsite
At Microsoft AI, our Health team is on a mission to help millions of people better understand and proactively manage their health and wellbeing. We are responsible for ensuring that Microsoft AI's models, products, and services are useful, trusted, and safe across diverse health journeys.
Microsoft AI and Mayo Clinic have announced a strategic collaboration to develop and deploy a frontier AI model designed specifically for healthcare. The collaboration combines Mayo Clinic's clinical expertise, de-identified clinical health data, longitudinal insights, and trusted environment with Microsoft's advanced AI, cloud, engineering, and superintelligence capabilities. The model will initially be deployed within Mayo Clinic, where it can be tested, refined, and improved through real-world use.
We are looking for a Forward Deployed AI Engineer to join the Microsoft AI Health team and play a leading technical role in this collaboration. 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.
We turn frontier models into products people can trust with their health. We build rigorous, health-specific evaluations and use them to drive model, product, and engineering decisions. We design systems that combine models, context, retrieval, tools, enterprise data, and deterministic software to deliver reliable results in high-stakes environments.
Forward-deployed engineering means working directly in the complexity of a partner organization. It requires learning unfamiliar systems quickly, building trust across a large stakeholder network, and finding pragmatic ways through technical, organizational, and operational constraints. You will not stop at recommendations or prototypes: you will build alongside partner teams and remain accountable through integration, deployment, validation, and adoption.
The goal is both to deliver the Mayo Clinic collaboration and to strengthen the platform beneath it. You will turn partner-specific learning into reusable infrastructure, data capabilities, integration patterns, and paved paths that can support the frontier healthcare model and future health AI products.
Required Qualifications:
Preferred qualifications:
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.