Staff AI Platform Engineer, Developer Experience

This role is within the global Developer Experience (DevEx) team, specifically the Model Developer Experience (MDX) sub-team. The team's mission is to deliver world-class infrastructure and platforms that enable AI builders across ADI to move faster, with confidence, and at scale.

What You Will Do

As a Staff/Senior AI Platform Engineer, you will bring deep technical expertise in building scalable AI infrastructure across diverse deployment environments, and the ability to design elegant solutions that absorb operational complexity on behalf of AI builders across the organization.

Why It Might Be a Fit

You will work embedded with data science and ML engineering teams to understand their infrastructure needs at the cutting edge, then translate those learnings into reusable, org-wide architectural patterns and platforms.

Requirements

• Deep expertise in designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native)
• Proven ability to work embedded with technical teams, understand complex requirements, and translate them into scalable architectural solutions
• Strong experience with Kubernetes, container orchestration, and distributed compute frameworks (Ray, Spark, or equivalent) at production scale
• Expert-level Infrastructure-as-Code proficiency (Terraform, CDK, or equivalent) with demonstrated ability to build reusable, multi-team infrastructure templates
• Deep knowledge of GPU/accelerator resource management, including scheduling, optimization, and cost tracking across heterogeneous hardware
• Experience designing model serving infrastructure and inference optimization pipelines for production AI workloads
• Demonstrated ability to solve complex infrastructure problems through systematic analysis and creative engineering
• Strong communication skills and ability to translate technical concepts for both engineering and non-technical audiences
• Familiarity with risk-tiered compliance models where control intensity scales with assessed risk level
• Strong cross-functional collaboration skills — ability to work across Legal, Security, Privacy, and Engineering to align on governance workflows without creating organizational friction
• Mentoring orientation with demonstrated success upskilling scientists on infrastructure and platform topics

Benefits

• Medical, vision, and dental coverage
• 401k
• Paid vacation, holidays, and sick time
• Discretionary performance-based bonus
• Equity