Engagement Tech Lead, Agentic AI

NVIDIA
United States
Workplace: HybridFull timeUSD 224,000 - 431,250 annuallyFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: phdSkills: ["Technical leadership","Communication","Cross-functional collaboration","Execution rigor","Partner influence"]

Drive technical engagements with strategic enterprise ISV partners, aligning objectives and adoption plans with their software platform architects. Stay hands-on designing and shipping production agentic AI systems using NVIDIA’s stack and open tools, covering RAG, inference, and multi-agent long-horizon workflows. Lead technical strategy and execution, share learnings with Product/Engineering/Research, and serve as the partner voice to shape roadmap and agentic platform architecture.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 months ago

Engagement Tech Lead, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Drive technical engagements with strategic enterprise ISV partners, aligning objectives and adoption plans with their software platform architects. Stay hands-on designing and shipping production agentic AI systems using NVIDIA’s stack and open tools, covering RAG, inference, and multi-agent long-horizon workflows. Lead technical strategy and execution, share learnings with Product/Engineering/Research, and serve as the partner voice to shape roadmap and agentic platform architecture.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead technical engagement with a focused set of ISV partners, setting objectives, timelines, and adoption plans with their software platform architects.
  • •Design and ship production agentic systems and reference architectures across NVIDIA’s stack and open tools, implementing RAG, inference, and multi-agent workflows.
  • •Run technical strategy and execution by tracking adoption, maintaining cadence, and sharing learnings with Product, Engineering, Research, and Solution Architecture teams.
  • •Build expertise across the agentic AI lifecycle, including fine-tuning, reasoning, advanced RAG, multi-agent workflows, evaluation/observability, and production inference.
  • •Act as the partner voice inside NVIDIA, translating partner needs and architectures into roadmap input across teams.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •12+ years in technical Product, Engineering, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work.
  • •Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
  • •Strong AI/ML and deep learning foundation with hands-on experience building enterprise-grade GenAI systems, including advanced RAG, multi-agent architectures, and production LLM deployments.
  • •Ability to lead technical engagements with customers and earn trust of senior engineers, architects, and executives while bringing cross-functional teams along.
  • •Proficiency in Python and PyTorch and the modern agent/LLM stack, plus solid grasp of enterprise deployment (MLOps/LLMOps, Kubernetes, Docker, and security/governance).
Experience:12+ yearsEnterprise softwareProduction AIGenAI
Education:PhD / Doctorate in Computer Science, Electrical Engineering
Skills:Technical leadershipCommunicationCross-functional collaborationExecution rigorPartner influence
Tech Stack:Generative AIAgentic AIRAGInferenceMulti-agentNeMoNemotronNeMo Agent ToolkitNIMDynamoTensorRT-LLMVLLMLangChainVector DBsMCPA2APEFTSFTRLMLOps

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor