Senior AI Engineer, Forward Deployed Engineering

About the role

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to build the next generation of decision intelligence for our supply chain on Palantir Foundry and AIP. As a Senior AI Engineer and Forward Deployed Engineer, you will work directly with planners and supply-chain experts to turn their decision logic into production applications: governed data pipelines, Ontology models, analytical functions, operational interfaces and AI agents that are trusted, tested and used every day. This is a rare opportunity to shape how one of the world's most advanced AI companies runs its own supply chain. If you thrive at the intersection of Palantir engineering, applied AI and supply-chain transformation, join us.

What you will be doing:

- Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models (object, link and action types), analytical functions, operational interfaces (Workshop and OSDK) and controlled actions.

- Work directly with supply-chain planners and experts to convert business rules, constraints and exception procedures into documented, versioned and testable software.

- Combine analytical methods, optimization and language models to support operational decisions, selecting the approach that meets each use case's correctness, reliability and performance requirements.

- Own automated testing and validation across application code, data pipelines, business rules and agent workflows. Establish acceptance criteria with domain experts and enforce checks before release.

- Use AI coding tools effectively while remaining accountable for code quality: review generated code, validate assumptions and verify behavior against independently defined expected results.

- Build evaluation datasets from approved scenarios and historical decisions. Test edge cases, repeatability, permissions, failure recovery and changes to models, prompts, tools and data.

- Define agent autonomy boundaries, human-in-the-loop workflows and escalation strategies for enterprise supply-chain use cases built on AIP.

- Measure operational results, including decision cycle time, manual effort, exception resolution and decision quality. Capture user corrections and outcomes to guide improvements.

- Capture design requirements, translate them into user stories, lead technical design reviews and documentation, drive end-to-end integration testing and support UAT and hyper care.

What we need to see:

- Demonstrated hands-on production delivery on Palantir Foundry and AIP: Python or Pipeline Builder transforms, Ontology design (object, link and action types), Workshop or OSDK applications, AIP Logic and Functions, and Data Connection sources, with ownership after go-live.

- Working knowledge of Foundry governance and release management: projects and roles, markings, branching, and environment promotion across development, UAT and production.