Our client is a well-respected Central Government department which is ultimately responsible for a wide range of policy matters and economic decisions which have a profound impact on our lives. They have an immediate and critical requirement for Lead AI Enterprise Architect to play a key role to accelerate the adoption of responsible, scalable adoption of AI, and to help them fully realise its benefits across the organisation.

This role is essential to embedding trusted design principles and ensuring AI systems can deliver cross-cutting value, interoperability, and compliance with emerging national standards.

You will be responsible for designing a Roadmap, Guardrails and Target Operation Models (TOMs) that incorporates DDAT & departmental strategy, bridging the gaps between departments, and that that also helps to shape the client's ethical AI strategy.

The successful candidate will design, develop, implement and maintain the Enterprise Architecture. They will also be responsible for the production of high-level solution designs, develop and implement technical architecture and design strategies, provide technical leadership, expertise, and direction. They will also apply systematic and rigorous strategic analysis of architectural issues, and support, challenge and collaborate with senior managers and decision makers.

The role responsibilities will include:

• Leading on defining AI lifecycle standards and guardrails to form a cohesive view across our technology estate.

• Embedding secure AI development practices and advise on risk registers, DPIAs and due diligence.

• Translating central policies (e.g., AI Playbook, DSIT’s AI Regulation Framework, cross-HMG security principles) into usable, department-specific tools and guidance.

• Engage with OGDs and cross-HMG forums to ensure our frameworks align with DSIT, Cabinet Office and National Cyber Security Centre standards.

• Establish and maintain secure-by-design and explainability guardrails for AI across the estate.

• Provide enterprise-level architectural governance across AI pilots, ensuring reuse, integration and compliance.

• Collaborate with senior technical and policy stakeholders to align AI development with public outcomes, including cost-efficiency and service transformation.

This type of cross-cutting AI governance skillset is niche and spans enterprise architecture, information assurance and applied AI ethics. We welcome applications from people with a wide range of AI technical experience including AWS Bedrock and Azure AI Foundry and open-source AI/ML stacks.