Solutions Architect, Generative AI

NVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join our growing team focused on ecosystem partner enablement for Generative AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands‑on developer. You will directly build innovative proof‑of‑concept solutions and reference architectures for innovative AI agents, demonstrating the full power of the NVIDIA full‑stack accelerated Generative AI platforms.

By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Nemotron.

The Generative AI Partners Enablement Solutions Architect team is committed to leveraging advanced technologies to address and expedite the deployment of solutions for customers’ real‑world challenges. We act as trusted technical advisors and partners to our ecosystem. As a member of NPN Generative AI Solution Architecture team, you will be immersed in a diverse, supportive environment where everyone is inspired to do their life’s work.

Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solve category‑defining systems and production‑grade AI solutions at scale.

• Building an end‑to‑end agentic AI applications that solve real‑world enterprise problems across various industries.
• Serve as the primary technical domain expert for pre‑ and post‑sale for partners, embedding deeply with them to design and deploy Generative AI solutions ntain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms.
• Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands‑on prototypes, and advising on standard methodologies for scaling solutions to productions.
• Establish the scope, success metrics, and evaluation criteria for partner‑led customer projects, ensuring alignment to standardized and reproducible GPU‑accelerated workflows.
• Enable strategic partners to build their own Professional Services, platforms and products by integrating and accelerating using NVIDIA technologies for high‑impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA’s Generative AI products.
• Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.

• MS or PhD degree in Computer Science/Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field (or equivalent experience).
• 5+ years of meaningful work experience in deploying AI models at scale as a Software Engineer or Deep Learning engineer.
• Consistent track record of building enterprise‑grade agentic AI systems using open‑source models and solid foundation in deep learning, with a particular emphasis on LLM and VLM.
• Hands‑on experience with LLM and agentic frameworks (NeMo Agent Toolkit, Lang Chain, Semantic Kernel, Crew.ai, Auto Gen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept.
• Strong coding development and proficiency in Python, C++ and deep learning frameworks (PyTorch, or Tensor Flow).
• Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers.

• Demonstrate expertise in building applications and systems using NeMo Framework, Nemotron, Dynamo, Tensor
  
  RTLLM, NIMs, AI Blueprints. And actively contribute to the open‑source community.
• Take end‑to‑end ownership of projects, proactively acquiring new skills or knowledge as needed to drive success.
• Excel in fast‑paced environments, adeptly managing multiple work streams and prioritizing for the highest customer impact.
• Understanding of different advanced agent architectures and emerging communication protocols (MCP, OpenAI Agentic SDK, or Google A2A).
• NVIDIA GPUs and system software stacks (e.g.…