Senior AI Engineer, Forward Deployed Engineering

Details

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to build the next generation of decision intelligence for the 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 decision logic into production applications, including governed data pipelines, Ontology models, analytical functions, operational interfaces, and AI agents that are trusted, tested, and used every day.

Responsibilities

• Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models with object, link, and action types, analytical functions, Workshop and OSDK operational interfaces, 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 approaches based on 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 by reviewing generated code, validating assumptions, and verifying 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 hypercare.

Requirements

• Demonstrated hands-on production delivery on Palantir Foundry and AIP, including Python or Pipeline Builder transforms, Ontology design, 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, including projects and roles, markings, branching, and environment promotion across development, UAT, and production.
• Bachelor's degree in Computer Science or a related field, or equivalent experience.
• At least 12 years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
• Strong Python and SQL development skills, with experience integrating enterprise systems such as ERP, planning, and ITSM platforms through APIs, data connectors, or custom services.
• Proven ability to implement complex business rules and explain how their correctness was established.
• Strong automated testing, debugging, and release practices, including validation of AI-assisted development and LLM-based workflows.
• Practical experience integrating and evaluating language models, including open models such as NVIDIA Nemotron.
• Ability to work directly with operational users, resolve ambiguous requirements, and deliver maintainable software.
• Excellent collaboration and communication skills, with the ability to explain complex designs clearly and build trusted partnerships across technical and business audiences.

Preferred Qualifications

• Supply-chain, manufacturing, planning, or operations research experience.
• Experience with constraint optimization, simulation, and scenario analysis.
• TypeScript development and advanced Palantir application development.
• Experience with agentic frameworks and patterns, including RAG pipelines, multi-agent orchestration, and vector search.
• Experience with NVIDIA NeMo Guardrails or GPU-optimized inference stacks.
• Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-premises environments.
• Evidence of measurable improvements from systems used in daily operations.

Benefits

The position includes equity and benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until November 6, 2026. NVIDIA uses AI tools in its recruiting processes.