{"id":3645986,"url":"https://alion.io/job/nvidia-senior-ai-engineer-forward-deployed-engineering","title":"Senior AI Engineer, Forward Deployed Engineering","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":772,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.04,"time_to_fill_p50_days":40,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":322000,"currency":"USD","period":"year","gross":null,"usd_annual":322000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ITSM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-02T22:50:39Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T20:57:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nWhat you will be doing:\nBuild 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.\nWork directly with supply-chain planners and experts to convert business rules, constraints and exception procedures into documented, versioned and testable software.\nCombine analytical methods, optimization and language models to support operational decisions, selecting the approach that meets each use case's correctness, reliability and performance requirements.\nOwn 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.\nUse AI coding tools effectively while remaining accountable for code quality: review generated code, validate assumptions and verify behavior against independently defined expected results.\nBuild evaluation datasets from approved scenarios and historical decisions. Test edge cases, repeatability, permissions, failure recovery and changes to models, prompts, tools and data.\nDefine agent autonomy boundaries, human-in-the-loop workflows and escalation strategies for enterprise supply-chain use cases built on AIP.\nMeasure operational results, including decision cycle time, manual effort, exception resolution and decision quality. Capture user corrections and outcomes to guide improvements.\nCapture 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.\nWhat we need to see:\nDemonstrated 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.\nWorking knowledge of Foundry governance and release management: projects and roles, markings, branching, and environment promotion across development, UAT and production.\nBachelor's degree in Computer Science or a related field (or equivalent experience).\n12+ years of demonstrable experience in software architecture, systems design or enterprise platform engineering.\nStrong Python and SQL development skills, with experience integrating enterprise systems (ERP, planning, ITSM) through APIs, data connectors or custom services.\nProven ability to implement complex business rules and explain how their correctness was established.\nStrong automated testing, debugging and release practices, including validation of AI-assisted development and LLM-based workflows.\nPractical experience integrating and evaluating language models, including open models such as NVIDIA Nemotron.\nAbility to work directly with operational users, resolve ambiguous requirements and deliver maintainable software.\nExcellent collaboration and communication skills, with the ability to explain complex designs clearly and build trusted partnerships across technical and business audiences.\nWays to stand out from the crowd:\nSupply-chain, manufacturing, planning or operations research experience.\nExperience with constraint optimization, simulation and scenario analysis.\nTypeScript development and advanced Palantir application development.\nExperience with agentic frameworks and patterns (RAG pipelines, multi-agent orchestration, vector search) and with NVIDIA NeMo Guardrails or GPU-optimized inference stacks.\nHands-on experience with containerized deployments, Kubernetes and hybrid cloud/on-prem environments and evidence of measurable improvements from systems used in daily operations.\nNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape decision intelligence for NVIDIA's Supply Chain Operations, we want to hear from you. Apply today!\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD - 322,000 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 6, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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