Lead AI Architect - Agentic AI, Strategy & Adoption - Outside

• Define enterprise AI target architectures and transition roadmaps.
• Develop scalable AI and agentic architecture patterns covering orchestration, integration, security, observability and lifecycle management.
• Working with AI Governance, evolve the Agent taxonomy and tiering based on purpose, autonomy, impact, data sensitivity, reach and criticality. Including patterns for single-agent, multi-agent, master-agent and specialist-agent approaches.
• Establish AI platform strategies, standards, guardrails and reusable design frameworks.
• Assess and prioritise AI opportunities across multiple business functions, creating a long-term AI roadmap aligned to organisational objectives.
• Create AI design principles, reference architectures and governance frameworks to ensure secure, responsible and scalable adoption.
• Lead stakeholder engagement across architecture, technology, data, security, risk and business teams.
• Enable internal teams through workshops, design reviews, coaching and reusable best practice assets.
• Drive adoption of AI governance, technical assurance and operational standards.

• Proven experience defining and implementing enterprise AI strategies and architecture roadmaps.
• Strong knowledge of Agentic AI, AI platforms, large language models, orchestration frameworks and AI governance.
• Experience designing scalable AI solutions incorporating data, integration, APIs, security and cloud platforms.
• Deep understanding of enterprise architecture principles and digital transformation programmes.
• Experience establishing AI standards, operating models, assurance processes and governance frameworks.
• Strong stakeholder management skills with the ability to influence senior business and technology leaders.
• Experience working across complex enterprise environments with multiple business units and priorities

Ideal Background

• Enterprise Architect, AI Architect, Principal Architect or Digital Transformation Architect.
• Experience with Microsoft Copilot, Azure AI, AI agent frameworks and modern enterprise AI platforms.
• Strong understanding of responsible AI, data governance, privacy and security requirements.

Deliverables

• Enterprise AI target architecture.
• Agentic AI architecture framework.
• AI platform and operating model strategy.
• Enterprise AI roadmap and prioritisation framework.
• AI design principles and standards.
• AI governance and assurance framework.
• Reusable architectural patterns and enablement assets.

This is an opportunity to play a pivotal role in defining how AI is Embedded across a major organisation, creating the foundations for scalable, secure and responsible AI adoption

£650-£750 p/d - Outside IR35 - Highly remote - 6 month initial contract