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

Overview

• 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.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you.