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