Enterprise AI Solution Architect - Responsible AI, Hybrid

Imperial Enterprise; England; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Flexible and hybrid working

Wider staff benefits and development

Sector-leading salary and pension

Opportunity to shape AI at Imperial

Job summary

Imperial in London is seeking an AI Solution Architect to shape how AI is designed, governed and adopted across ICT and Imperial, ensuring safe and effective deployment of AI technologies at scale.

You will lead AI and data solution architectures spanning generative AI, ML, and data pipelines, define guardrails for AI agents, and drive responsible AI across a complex university environment. Flexible, hybrid work and extensive staff benefits are offered.

Qualifications

• Experience designing complex digital or enterprise solutions within large, diverse or federated organisations.
• Experience designing and delivering AI, machine learning or data-driven solutions, and integrating AI capabilities across multiple systems, product lines or domains.
• A strong understanding of AI and machine learning concepts, including generative AI and large language models, and how they are applied in enterprise solutions.
• Understanding of the data architecture, pipelines and MLOps needed to build, deploy and operate AI solutions, and of AI and ML platforms, tooling and services (cloud AI/ML services, LLM frameworks and vector data stores).
• The ability to design responsible, secure and ethical AI solutions, embedding guardrails, evaluation and human oversight, and to assess and apply AI responsibly, weighing value, risk, ethics, security and compliance.
• A strong grasp of modern architecture approaches, including cloud, integration platforms, APIs, microservices and secure-by-design, across multiple technology domains.
• Experience across the full product or platform lifecycle, from discovery and design through to live service and decommissioning.
• Excellent communication skills, with the ability to engage audiences from senior stakeholders through to technical teams and suppliers, and to advise and enable teams on responsible AI adoption.
• Desirable: awareness of AI-specific security and risk and of emerging AI regulation, experience of architecture governance or design assurance, and experience in the Higher Education sector.

Responsibilities

• 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 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.

Skills

Complex digital solutions

AI / ML concepts

Stakeholder communication

Governance & ethics in AI

Job description

Imperial in London is seeking an AI Solution Architect to shape how AI is designed, governed and adopted across ICT and Imperial, ensuring safe and effective deployment of AI technologies at scale.

You will lead AI and data solution architectures spanning generative AI, ML, and data pipelines, define guardrails for AI agents, and drive responsible AI across a complex university environment. Flexible, hybrid work and extensive staff benefits are offered.