Senior GenAI Engagement Lead, Partner Platforms

About this role

We are seeking a hands-on, highly technical Partner Engagement Lead to drive deep technical integration of our Generative AI software with our most strategic enterprise ISV and CSP partners. As the key technical lead 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, post-training, Reasoning, RAG, Multi-agent workflows and LLM Inf

Apply for this role on NVIDIA’s official careers site.