Engagement Tech Lead, Agentic AI
NVIDIA Corporation · Santa Clara, CA
$224,000–$431,250from the description
Jul 13, 2026
Santa Clara, CA
Jul 20, 2026
What this job asks for AI summary
A senior technical role focused on integrating generative and agentic AI software with a small set of high-priority enterprise software partners. Day-to-day work spans hands-on design and delivery of production agentic systems — including RAG pipelines, multi-agent workflows, and LLM inference — alongside setting adoption strategy and acting as the internal advocate who channels partner needs into product and engineering roadmaps. Suits a deeply technical professional with a strong AI/ML background who is equally comfortable writing code and advising senior stakeholders.
Principal level · 12+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 100 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 45–160
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role spans two internal levels (L5 and L6) with distinct salary bands: $224,000–$356,500 for L5 and $272,000–$431,250 for L6. The pay band fields reflect the full combined range across both levels.
Seniority is assessed as Principal: the role demands 12+ years, org-wide technical influence across Product, Engineering, and Research, and external strategic authority with NVIDIA's highest-priority ISV partners — well above a typical Senior scope.
The title 'Engagement Lead' carries no explicit seniority level word, so the title states no level.
SOC classification is Medium-confidence 15-1299 (Computer Occupations, All Other): the role is a hybrid of hands-on AI/ML engineering and strategic technical account leadership, which does not map cleanly to a single standard occupation. 15-1252 (Software Developers) is the closest runner-up given the explicit expectation to 'design and ship code' and build production agentic systems.
Degree requirement: the JD states 'Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.' Because equivalent experience is explicitly accepted, the degree requirement is set to None per extraction rules — however, the posting does express a strong preference for a graduate degree.
The LangChain, vLLM/TensorRT-LLM, vector DB, and MCP/A2A skills appear in the required qualifications section with the qualifier 'Direct experience with every tool is not required' — this softens individual tool gates but the overall stack proficiency is required. Tools are marked required at the capability level; specific NVIDIA-stack tools (NeMo, NIM, Dynamo, TensorRT-LLM) appear primarily in the 'What You Will Be Doing' narrative and are marked preferred.
MCP (Model Context Protocol) and A2A are listed as open tools in the stack narrative and as part of the required stack in qualifications; MCP is marked preferred given the 'direct experience with every tool is not required' qualifier and its novelty.
PEFT and other fine-tuning methods appear under 'Build breadth' in the responsibilities section, not in the hard requirements block, and are marked preferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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