Full-time jobs in Madison, WI

About the role

The Sr AI Platform Infrastructure Engineer is a pivotal position for driving the strategic vision and technical execution for the Cancer Diagnostics AI/ML platform. The role is accountable for the architecture, reliability, scalability, security and cost of every layer beneath the platform's applications, from the cloud, network and compute foundation to the serving, orchestration and streaming systems that workloads run on. This engineering leader partners closely with the AI Platform Software and Safety leads to own and develop the AI/ML platform. This role architects, builds and operates AI infrastructure as software, supporting large language models, predictive models, agentic systems and traditional software applications across the MLOps lifecycle. This is a hands-on engineering role that requires a technical leader to demonstrate ownership, accountability and leadership. This role is based in Madison, WI .

What you'll bring

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
• Demonstrated understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving skills with expertise in AI/ML techniques.
• Production experience with Python, Go and/or Rust.
• Experience leading platform transformations and/or building large-scale AI infrastructure.
• Multi-cloud experience, or experience migrating significant workloads between cloud providers.
• Kubernetes-native serverless and event-driven autoscaling (for example Knative or KEDA), service mesh, API gateway and zero-trust network patterns.
• Cost ownership of a GPU fleet, or comparable FinOps accountability for shared compute.
• Experience operating inside enterprise guardrails, where network, identity and change management are owned by other teams, and knowledge of compliance frameworks such as HIPAA, FDA and GxP.