Member of Technical Staff - Forward Deployed AI Engineer, Health

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. 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 organisations, 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. 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. * 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 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. Experience converting partner-specific solutions into reusable platforms, tooling, or integration frameworks. Demonstrated 0-to-1 delivery: repeatedly moving from an ambiguous problem to a working production capability with measurable outcomes. Significant software-engineering experience, including hands-on technical leadership of complex production systems and major cross-organizational initiatives.