Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

NVIDIA is hiring a Solution Architect for the AI Technology Centre team in the UK. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms.

Why the UK? The UK has positioned itself as a global leader in AI, with major national investment into computing, foundation models, and AI safety. London offers one of the most active ecosystems for Generative AI, AI models, and large-scale AI systems worldwide, bringing together top research labs, high‑growth startups, and industry partners building the next generation of model‑driven applications.

What you'll be doing

Participate in high impact research projects alongside university PIs and their research labs.

Identify and evaluate new high-value research opportunities in Generative AI, AI Models and Systems.

Champion the adoption of NVIDIA software platforms (such as NeMo, NIMs, Cosmos, CUDA X) to tackle groundbreaking scientific challenges.

Shape and nurture strategic institutional agreements with top UK universities and research consortia.

Empower academic partners by helping them secure critical research funding from external sources.

Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research.

Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs.

Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Generative AI Days).

Help university PIs mentor postgraduate students.

What we need to see

Ph.D. in Computer Science, Engineering, Applied Mathematics, or Physics.

Research publications in Generative AI, AI Models, AI Systems, and related topics.

Experience working in academic research groups.

Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI and Generative AI.

Experience with scientific policy engagement, grant processes, or national/European research program structures.

Excellent written and verbal communication skills in English.

Proven ability to work collaboratively in a team environment and learn new technologies quickly.

5+ years of hands-on experience in Generative AI, AI Models and Systems research.

Ways to stand out from the crowd

Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D.

Recognition across the research community with awards, named fellowships and grants in the Generative AI area.

Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment.

Experience building and implementing projects with NVIDIA software platforms.