NVIDIA

Enterprise Software, Cloud Platforms, AI/ML, Deep Learning, Generative AI

SeniorGenAITechnicalLead,PartnerPlatforms

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior GenAI Technical Lead, Partner Platforms at NVIDIA. Skills: GenAI, Generative AI, Agentic AI, LLM, RAG, Multi-Agent workflows, NVIDIA GenAI offerings, Cloud Platforms, Enterprise Software, Partner Integrations. Define and implement the technical strategy for integrating Generative AI software with enterprise ISV and CSP partners. Build and drive the technical integration of GenAI offerings across ISV and CSP Platforms”

Industry & Context.

Enterprise Software, Cloud Platforms, AI/ML, Deep Learning, Generative AI
Problems you'll solve

arrive at the best technical solution for new and evolving GenAI customer scenarios

What They're Looking For.

Must Have

8 + years of proven experience in technical Product or Engineering roles in Enterprise Software, Cloud Platforms, and production deployments with a focus on building partner integrations, background in AI/ML and Deep Learning with hands-on experience building enterprise-grade GenAI systems such as intricate RAGs, Multi-Agent architectures, and production LLM deployments in a customer-facing role, Experience with programming languages and libraries such as HuggingFace, LangChain, Python, PyTorch, NVIDIA NeMo, vLLM, AutoGen, TensorRT-LLM, etc. and LLM application stages such as Pre-training, Customization, Inference, Evaluation, and Benchmarking, Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving GenAI customer scenarios driving to completion, demonstrating collaboration and ownership of large projects, understanding of enterprise deployments including MLOps, Cloud Native technologies such as Kubernetes, Docker, Kubeflow, and Enterprise IT environments including Security, Compliance, Governance, Data infrastructure, and Deployments across on-prem, hybrid, and multi-cloud platforms, executive-caliber communication, deep curiosity for emerging AI technologies, High ownership and initiative

Nice to Have

Track record of influencing complex product decisions through trusted partner relationships, showing empathy for customer needs and an instinct for translating those into scalable platform improvements, Proactive in anticipating market trends, and advocating for innovation inside and outside the org, with an in-depth knowledge of the ISV and cloud provider landscape, Demonstrated agility in high-stakes environments required to deliver successful outcomes with partner collaborations especially with high-velocity GenAI landscape, growth and solution outlook, highly collaborative standout colleague, able to build deep trust with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations

What You'll Do.

Define and implement the technical strategy for integrating Generative AI software with enterprise ISV and CSP partners

Build and drive the technical integration of GenAI offerings across ISV and CSP Platforms

Define technical objectives

and product adoption strategy

Hands-on design and ship methodologies

and reference architectures

Own the technical product engagement

Drive regular meetings

and internal reporting

Develop understanding across all stages of GenAI lifecycle

Represent Partner needs and architecture design to Product and Engineering teams

Contribute to Product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns

Develop expertise in GenAI Platform Architecture and keep up to date with the latest in the industry and NVIDIA libraries

How You'll Work.

Team & Collaboration

collaborating closely with partner Platform Architects; work closely with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations; collaborate with multiple teams to arrive at the best technical solution; keeping internal and external collaborators aligned; collaborate with engineers, executives, and multi-functional teams at both NVIDIA and Partner organizations

Communication Scope

executive-caliber communication

Process & Methodology

ownership of large projects, progress tracking

Full Job Description

NVIDIA's Enterprise Product Group is seeking a highly technical GenAI Product Integration Lead to define and implement the technical strategy for integrating our Generative AI software with our most strategic enterprise ISV and CSP partners. As the key technical driver for your assigned partners, you will build trusted relationships with their Platform Architects and accelerate the adoption of NVIDIA's offerings across critical enterprise initiatives! This role demands versatility to operate proficiently at the intersection of platform strategy, strong hands-on technical execution, and business acuity with senior leaders, staying ahead of the advancements in Generative and Agentic AI. You will influence product direction, infrastructure investments, and ensure the deployment of robust, scalable GenAI solutions that redefine enterprise capabilities. **What You Will Be Doing:** * Build and drive the technical integration of our GenAI offerings across a focused set of ISV and CSP Platforms, collaborating closely with their Platform Architects. Define technical objectives, timelines, and product adoption strategy, aligning with each partner’s long-term business objectives. * Hands-on design and ship methodologies, code, and reference architectures that bring RAG, LLM inference, and Multi-Agent workflows to life using NVIDIA libraries (NeMo, NIMs, Triton, Tensor-RT, etc.) as well as vLLM, LangChain, vector DBs, MCP, A2A, and related technologies, deployed across major CSP platforms such as AWS, Azure, GCP, etc. * Own the technical product engagement. Drive regular meetings, progress tracking, adoption status, and internal reporting consistent with NVIDIA's culture. You will work closely with NVIDIA Product, Engineering, Research, Solution Architecture, and other organizations to achieve the most efficient solution. * Develop understanding across all stages of GenAI lifecycle with depth in select areas such as Data Curation, LLM Pre-training, Finetuning such as PEFT, SFT,

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