{"id":3467623,"url":"https://alion.io/job/nvidia-senior-ai-engineer-2","title":"Senior AI Engineer","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":765,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.039,"time_to_fill_p50_days":40,"computed_at":"2026-11-02T06:13:15Z"}},"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":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGPT","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ITSM","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-03T03:45:28Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to develop the future of agentic AI at scale. As the Senior AI Engineer in Operations, you implement our vision for codifying our decision logics and implement decision intelligence ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world’s most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.\nWhat you will be doing:\nDevelop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.\n\nCapture design requirements, translate requirements into user stories, perform technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop Hypercare support model\n\nBe hands on in development and implement enterprise grade Agentic AI Supply Chain solutions\n\nPartner with Enterprise IT engineering, product, and research teams while using LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies.\n\nEnsure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.\n\nDrive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.\n\nLead technical design reviews, develop technical design documentation, and follow principles of code development.\n\nDefine agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain use cases.\n\nDesign and implement agent observability and evaluation frameworks (latency, accuracy, cost, failure modes, and hallucination analysis).\n\nWhat we need to see:\nBachelor’s degree in Computer Science or related field (or equivalent experience) and 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.\n\nStrong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus)\n\nMust have been at least 2+ years as Palantir AI Foundry and AIP platform Forward Deployment Engineer\n\nDemonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.\n\nExperience working with LLMs, RAG architectures, and agent orchestration frameworks such as ReAct patterns, LangChain-based systems, and AutoGPT-style workflows.\n\nHands-on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.\n\nExperience designing multi-agent communication and coordination patterns (planner/executor/critic,supervisor agents, etc.).\n\nExperience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.\n\nStrong technical solution design, analytical skills, and the ability to perform technical and business process modeling\n\nExcellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships as well as the ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.\n\nWays to stand out from the crowd:\nHands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.\n\nPrototyping skills in Python with ability to build proof-of-concept agent workflows.\n\nExperience with NVIDIA AI technologies such as NeMo, Guardrails, AIQ, or GPU-optimized inference stacks.\n\nTrack record of publishing technical papers, architecture patterns, or thought leadership in AI systems.\n\nKnowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain.\n\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 the agentic AI at scale 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 the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 31, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":5413,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-29T15:44:46Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":6,"expected_fill_days":40,"reasons":["conf:7","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-ai-engineer-2","json_url":"https://alion.io/job/nvidia-senior-ai-engineer-2.json","meta":{"generated_at":"2026-11-03T04:00:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5547,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-ai-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3467623}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3467623},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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