Assistant Professor in Fair and Responsible Artificial Intelligence
Do you want to change the world for the better? Do you believe this can be done through research and education?
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Are you an architect who can see both the big picture and the detail of how artificial intelligence should be designed, governed and adopted, and would like to shape how a world-leading university puts AI to work safely and well?
As AI Solution Architect, you will act as a cross-cutting design authority for AI across all of ICT and more widely across Imperial, shaping how generative AI, machine learning and data-driven capabilities are designed into our products and platforms. Working within Architecture & Technology Operations, you will partner with product and platform teams, engineering, data and research colleagues to design secure, scalable and responsible AI solutions aligned to Imperial's Digital Strategy, enterprise architecture standards and our commitment to responsible AI, data governance and ethics.
Lead AI solution architecture: Lead the development of AI and data solution architectures across ICT product lines and Imperial, aligned to enterprise architecture principles, technology standards and the Digital Strategy.
Design end-to-end AI solutions: Design AI solutions spanning generative AI and large language models, machine learning, and the data pipelines and MLOps needed to deploy and operate them responsibly and at scale.
Set guardrails for AI agents: Define reference architectures and guardrails for AI agents, including tool access, permissions, autonomy levels and human oversight.
Champion responsible AI: Ensure solutions meet responsible AI, data governance, security and regulatory obligations, and uphold cybersecurity, data protection and technology standards.
Lead in governance: Contribute to the Technical Design Authority, technology working groups and communities of practice, reviewing and assuring solution designs across the ICT portfolio.
Provide technical leadership: Guide delivery teams to implement approved designs and champion modern engineering practices, including API-first, cloud-native, DevOps, platform-based architecture and MLOps.
Be the AI design authority: Act as a cross-cutting AI design authority, advising and enabling product lines across ICT and teams across Imperial on the responsible adoption and integration of AI.
Support research: Support research groups adopting AI tools and platforms, balancing academic freedom with security and data obligations.
This is a full-time, open-ended position.