AI Solutions Architect

About this role

AI Solutions Architect As an AI Solutions Architect, you will be responsible for designing and leading the delivery of enterprise AI solutions built on Microsoft's AI platform. Working closely with customers, consultants, developers, project managers and Microsoft, you will define solution architectures that enable organisations to adopt AI securely, responsibly and at scale. This is a senior customer-facing role focused on translating business challenges into scalable technical solutions using Microsoft Copilot, Copilot Studio, Azure AI, Microsoft Fabric and Power Platform technologies. You will provide architectural leadership across the full project lifecycle, from pre-sales and discovery through to solution design, governance, implementation and production deployment. You will act as a trusted advisor to customers and provide technical leadership within CPS, helping shape our AI strategy, propositions, delivery standards and reusable solution accelerators. Requirements Solution Architecture & Technical Leadership Lead the architecture and design of AI, Copilot and Agentic AI solutions using Microsoft technologies. Design scalable, secure and maintainable solutions across Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Microsoft Fabric and Power Platform. Define solution architectures, integration patterns, governance controls and security requirements. Design multi-agent solutions, orchestration patterns and agent operating models. Define approaches for knowledge management, grounding, retrieval and enterprise search capabilities. Establish architectural standards, reusable components and best practices for AI solution delivery. Provide technical assurance and architecture reviews across customer engagements. Customer Engagement & Advisory Act as a trusted advisor to customer stakeholders, architects and technical teams. Lead discovery workshops, architecture reviews and technical design sessions. Translate business requirements into scalable AI solution designs and implementation roadmaps. Support customers in developing AI strategies, governance frameworks and operating models. Provide technical leadership during proof of concepts, pilot programmes and production deployments. Support customer executive stakeholders in understanding AI opportunities, risks and investment decisions. Pre-Sales & Business Development Support CPS sales and pre-sales activities for AI opportunities. Contribute to proposals, statements of work and solution designs. Participate in customer demonstrations, workshops and technical presentations. Support effort estimation, solution sizing and technical risk assessments. Collaborate with Microsoft teams and technology partners on strategic opportunities. Practice Development & Innovation Stay current with emerging Microsoft AI technologies and roadmap developments. Build reusable architectures, accelerators, reference designs and demonstration environments. Support the development of new AI propositions and service offerings. Mentor consultants and provide technical leadership across the AI Practice. Contribute to CPS thought leadership through blogs, events, webinars and industry engagement. Support CPS in achieving Microsoft partner designations, specialisations and advanced certifications.

Technical Skills & Experience Essential ·       Strong experience designing and delivering enterprise AI solutions using Microsoft technologies. ·       Deep knowledge of Microsoft Copilot Studio, Agent Builder and Microsoft 365 Copilot. ·       Strong understanding of Power Platform, including Power Automate, Power Apps and Dataverse. ·       Working knowledge of Azure AI services, Azure AI Foundry and Azure OpenAI capabilities. ·       Experience designing integrations across Microsoft 365, business applications and external systems. ·       Strong understanding of solution architecture principles across data, security, governance and scalability. ·       Experience designing secure and responsible AI solutions within enterprise environments. ·       Strong understanding of Retrieval Augmented Generation (RAG), grounding strategies and knowledge architectures. ·       Experience facilitating discovery workshops and translating business requirements into technical solution designs. ·       Excellent stakeholder engagement, consulting and communication skills. ·       Experience supporting pre-sales activities, solution design and technical estimation. Desirable Microsoft Fabric OneLake Data Engineering Data Warehousing Real-Time Intelligence Power BI Azure AI Azure AI Foundry Azure OpenAI AI Agents Prompt Flows Model orchestration Agentic AI Architecture Multi-agent systems Agent orchestration Human-in-the-loop patterns Agent governance and observability AI Engineering Concepts Retrieval Augmented Generation (RAG) Semantic search Vector databases Grounding strategies Knowledge architectures Enterprise Architecture Identity and access management Security and compliance Environment strategy DevOps and deployment approaches Experience working within a Microsoft Partner organisation.

Preferred Certifications (not essential) Microsoft AI AI-900: Microsoft Azure AI Fundamentals AI-102: Azure AI Engineer Associate Microsoft Applied Skills: Build custom agents with Microsoft Copilot Studio Microsoft Applied Skills: Create copilots with generative AI Microsoft Applied Skills: Build agentic solutions using Azure AI Foundry Microsoft Power Platform PL-900: Microsoft Power Platform Fundamentals PL-200: Power Platform Functional Consultant Associate PL-400: Power Platform Developer Associate Microsoft Data & Analytics DP-600: Fabric Analytics Engineer Associate PL-300: Power BI Data Analyst Associate Microsoft 365 MS-900: Microsoft 365 Fundamentals MS-102: Microsoft 365 Administrator Architecture & Consulting TOGAF (desirable) Prosci Change Practitioner (desirable) Experience leading enterprise architecture and digital transformation programmes

Benefits Some of the…