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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Microsoft Agentic Solutions Architect - **Company:** Deloitte - **Location:** Edinburgh, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Microsoft Azure, Data Governance, Software Design Patterns, Knowledge Management, Microsoft Windows SDK, Release Management, Microsoft Copilot, Enterprise Search, Office365, Retrieval-Augmented Generation, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Azure AI, Api Design, Human in the Loop - **Published:** October 7, 2026 - **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=25393 ## About the Role * Proven experience at Senior Manager level or equivalent, leading solution architecture for Microsoft Copilot, Copilot Studio, Azure AI Foundry, Azure AI, Power Platform, Microsoft 365 or enterprise AI transformation programmes in a consulting, systems integrator or enterprise technology environment. * A strong track record of shaping client opportunities from discovery through to proposal, including solution strategy, architecture options, delivery approach, assumptions, dependencies, estimates, commercial inputs and executive-level solution presentations. * Experience designing across Microsoft AI and agentic architecture, including Copilot extensibility, Copilot Studio Agents, Azure AI Foundry, Azure AI Search, Microsoft Graph, connectors, Power Platform, identity, security, compliance and governance considerations. * Practical understanding of agentic AI design patterns, including orchestration, grounding, RAG, enterprise knowledge layers, tool use, MCP or API-based integration, agent identity, evaluation, monitoring, guardrails and human approval workflows. * Ability to translate business problems into AI-enabled solution architectures that deliver measurable outcomes across productivity, service improvement, automation, knowledge management, employee experience, risk reduction and operating model change. * Experience working with enterprise architecture, security, data, integration, change and delivery teams to ensure AI solutions are robust, responsible, implementable and aligned to client technology standards. * Strong understanding of delivery lifecycle considerations, including use case prioritisation, data readiness, security review, responsible AI assessment, adoption planning, value tracking, testing, release management and operational support. * Experience working with Microsoft account teams, partner specialists or stakeholders to shape joint solutions, respond to client demand and support co-sell or partner-led opportunities. * Strong communication and stakeholder management skills, with the ability to facilitate senior workshops, challenge assumptions constructively and make complex architecture decisions understandable to non-technical stakeholders. * Commercial judgement, including the ability to balance ambition with delivery risk, shape phased roadmaps, identify scope boundaries, articulate trade-offs and support pricing or resourcing assumptions. * A collaborative leadership style, with experience guiding senior managers, architects, engineers, adoption specialists and SMEs around a common solution vision. The following will be desirable skills: * Experience in creating reference architectures, reusable delivery patterns, demos, accelerators or technical propositions for Copilot, agentic AI, AI-enabled workflow automation or enterprise knowledge solutions. * Experience architecting AI solutions across sectors such as financial services, insurance, public sector, energy, consumer, or professional services. * Understanding of responsible AI governance, AI operating models, data governance, regulatory considerations, cyber resilience, threat modelling, privacy and enterprise risk management for AI solutions. * Relevant Microsoft certifications or recognised credentials across Azure AI, Microsoft Copilot, Copilot Studio, Power Platform, Azure architecture, security, data or AI transformation leadership. * Understand how to design managed services, AI factories, agent factories, platform engineering models or reusable enablement approaches that help clients scale beyond initial AI pilots. * Experience developing thought leadership, client briefings, technical papers, executive workshops or architecture narratives that create confidence in Microsoft agentic AI adoption. * Experience mentoring architects and solutions leads to improve how Microsoft AI opportunities are qualified, solutioned, priced and delivered. ## Description Success in this role will be measured by the quality of the solutions you shape, the confidence you create with clients and delivery teams, and the contribution you make to winning and scaling Microsoft AI work. You will be expected to deliver the following: * Solution architecture leadership: lead the architecture of Microsoft Copilot, Copilot Studio, Azure AI Foundry, agentic AI and enterprise AI solutions, ensuring designs are secure, scalable, reliable and aligned to client objectives. * Opportunity shaping: work with market makers, account teams and pursuit leads to qualify opportunities, define solution options, shape scope, estimate effort and create compelling technical win themes. * Agentic architecture design: design agent patterns, orchestration approaches, knowledge grounding, tool integration, human-in-the-loop controls, observability, evaluation and guardrail models for enterprise use cases. * Microsoft platform alignment: advise clients on when to use Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Foundry Agent Service, Power Platform, Azure AI Search, Microsoft Graph and related controls as part of an integrated Microsoft AI architecture. * Delivery confidence: translate solution concepts into pragmatic delivery plans, architecture decisions, non-functional requirements, dependencies, risk assumptions and mobilisation approaches that delivery teams can execute. * Executive and technical advisory: communicate with CIOs, CTOs, CDOs, business sponsors, security leaders and engineering teams, adapting the message from board-level value narrative through to architecture-level detail. * Reusable capability: help build reference architectures, accelerators, demo patterns, estimation models, proposal content and technical playbooks that improve consistency across Microsoft agentic AI pursuits and delivery.