Base Salary
$188k - $331k/yr
Responsibilities
- Lead forward-deployed engineering with Mayo Clinic 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, build, and evaluate production AI systems using frontier models, context engineering, retrieval, tool use, orchestration, data platforms, and deterministic services.
- Remain hands-on in code and infrastructure while solving integration, data, reliability, and production-platform challenges.
- Coordinate delivery across Microsoft AI and Mayo Clinic and resolve technical disagreements, dependencies, and risks.
- Communicate architecture, trade-offs, progress, risks, and results to implementation teams, senior executives, and C-suite leaders.
- Convert lessons from the Mayo Clinic deployment into reusable platforms, tooling, integration patterns, and product-roadmap recommendations.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in 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 involving context engineering, retrieval, tool use, orchestration, and evaluation.
- Strong programming ability, preferably including Python, and experience with platform technologies such as Kubernetes, Databricks or Spark, infrastructure as code, and observability.
- Ability to lead through influence in complex partner environments and communicate technical decisions, progress, and risks to C-suite audiences.
- Experience in forward-deployed, field, customer, or similarly embedded technical-delivery engineering.
- Experience deploying technology for healthcare or other highly regulated enterprises, including providers, payers, life-sciences organizations, electronic health records, clinical data platforms, healthcare interoperability, or longitudinal health datasets.
- Strong machine-learning or applied-science foundations, including adapting, evaluating, or deploying foundation models on domain-specific data.
- Experience turning partner-specific solutions into reusable platforms, tooling, or integration frameworks and delivering ambiguous problems into measurable production outcomes.
- Significant software-engineering experience, including hands-on technical leadership of complex production systems and major cross-organizational initiatives.
Benefits
- The position is based in New York City and requires regular travel to work directly with Mayo Clinic teams.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the position open for at least five days.
Tech Stack
Categories
About Microsoft
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.