AI Architect

The Role

We are looking for an experienced AI Architect to define and govern enterprise-wide architecture strategies while acting as a trusted advisor on Generative AI adoption and transformation.

You will work closely with senior business and technology stakeholders to translate AI ambitions into secure, scalable and value-driven execution roadmaps, aligned with business strategy, regulatory requirements and long-term technology modernisation objectives.

The role bridges enterprise architecture, business strategy, data, cloud and AI engineering.

You will ensure that Generative AI initiatives move beyond isolated proof-of-concepts and become integrated into enterprise platforms, operating models and business processes.

Key Responsibilities

• Define and maintain current-state, target-state and transition enterprise architectures across applications, data, integration and infrastructure.
• Align enterprise architecture strategies with business objectives, digital transformation initiatives and technology roadmaps.
• Act as a Generative AI Subject Matter Expert, advising executives and senior stakeholders on opportunities to deliver measurable business value through AI.
• Identify, prioritise and shape GenAI use cases across business functions, including operations, customer service, underwriting, pensions, IT and software development lifecycle (SDLC).
• Define and drive GenAI adoption roadmaps, progressing initiatives from proof-of-concept through to enterprise-scale production deployment.
• Design end-to-end GenAI architectures covering data pipelines, Retrieval-Augmented Generation (RAG), model orchestration, APIs and integration with enterprise systems.
• Establish AI governance frameworks and guardrails covering data privacy, security, model risk, explainability, responsible AI, ethics and regulatory compliance.
• Support legacy-to-modern transformation through GenAI-assisted code analysis, documentation, test generation and modernisation accelerators.
• Define KPIs and value metrics to measure AI adoption, business impact and transformation outcomes.
• Lead architecture forums, design reviews and executive workshops, providing strategic guidance on enterprise and AI transformation.

Essential Skills and Experience

• 12+ years of experience in Solution Architecture, Enterprise Architecture or related architecture leadership roles.
• Strong expertise in enterprise and solution architecture, including legacy modernisation, cloud platforms and enterprise integration.
• Proven experience working within large, complex and regulated enterprise environments.
• Strong understanding and practical expertise in building Generative AI ecosystems, including Large Language Models (LLMs), RAG, prompt engineering, AI agents and AI platforms.
• Demonstrable experience shaping and delivering GenAI solutions beyond experimentation into production environments.
• Strong understanding of AI governance, security, responsible AI practices and regulatory considerations.
• Ability to translate business requirements and AI ambitions into scalable enterprise architecture and implementation roadmaps.
• Excellent stakeholder management, communication and executive-level advisory skills.
• Experience leading complex, multi-year enterprise transformation programmes.

Desirable Skills

• Awareness of emerging AI technologies, tools, frameworks and industry trends.
• Contributions to AI innovation initiatives, proof-of-concepts and reusable accelerators.
• End-to-end experience across AI ecosystems, including data pipelines, model development, MLOps, GenAI deployment, governance and enterprise-grade operations.