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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI Architect - Agentic AI, Strategy & Adoption - Outside - **Company:** Sanderson Recruitment Plc - **Location:** London, UK - **Experience:** Expert - **Salary:** £169,000.0 - £195,000.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Microsoft Azure, Cloud Computing, Data Governance, Microsoft Power Automate, Large Language Models, Multi-Agent Systems, AI Platforms, Kubernetes, Virtual Agents - **Published:** September 4, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-6673FCFF026344FF45/ ## About the Role * 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 ## Description * 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. ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [This App Reached 10,000 Users in One Week. 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