GenAI Solution Architect

A leading global organisation is seeking an experienced GenAI Solution Architect to lead the design and adoption of enterprise-scale Generative AI and Agentic AI solutions. This is a fantastic opportunity to shape AI strategy, define architecture standards, and deliver innovative, secure, and scalable AI capabilities across a complex enterprise environment.

Working closely with business and technology stakeholders, you’ll play a key role in developing reusable AI patterns, establishing governance frameworks, and driving the adoption of Microsoft AI technologies to deliver measurable business value., As the GenAI Solution Architect, you will:

• Collaborate with business and technology stakeholders to define AI product vision, roadmaps, and value creation.
• Design end-to-end Generative AI and Agentic AI architectures using the Microsoft technology stack.
• Develop reusable architecture patterns for:
• Retrieval-Augmented Generation (RAG)
• AI agent orchestration
• Multi-agent collaboration
• Enterprise knowledge retrieval
• Human-in-the-loop workflows and decision support
• Design secure, scalable, and governed AI solutions aligned with enterprise architecture standards.
• Ensure compliance with security, privacy, governance, and Responsible AI requirements.
• Support observability, interoperability, monitoring, and operational excellence across AI platforms.
• Embed controls for identity, access management, auditability, transparency, and accountability.
• Evaluate AI technologies, vendors, and platforms to support strategic build-versus-buy decisions.
• Monitor emerging AI trends and translate new capabilities into practical enterprise solutions.

You will be an experienced Solution Architect or AI Architect with a strong background in enterprise technology and a passion for delivering innovative AI solutions. Essential Skills & Experience

• Proven experience as a Solution Architect or AI Architect within large, complex organisations.
• Strong expertise across Microsoft Azure, Microsoft 365, Microsoft Copilot, Power Platform, and Microsoft Fabric.
• Deep understanding of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), orchestration, automation, and enterprise integration patterns.
• Experience designing secure, scalable, and governed AI solutions.
• Strong knowledge of security, privacy, governance, and compliance frameworks.
• Excellent stakeholder management, communication, and influencing skills.
• Ability to translate strategic objectives into practical technology solutions.
• Experience defining measurable business outcomes and value realisation frameworks.

Desirable

• Experience with Copilot Studio, Azure AI Foundry, Azure OpenAI, and emerging AI agent platforms.
• Knowledge of Responsible AI principles and governance frameworks.
• Experience delivering enterprise data, analytics, digital transformation, or platform programmes.
• Experience developing reusable enterprise AI products, services, or architectural patterns.
• Microsoft certifications in Azure, AI, Architecture, Microsoft Fabric, or Power Platform.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement. “, “industry”: “IT”, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “GBP”, “value”: {“@type”: “QuantitativeValue”, “maxValue”: “517”, “minValue”: “500”, “unitText”: “DAY”}}, “identifier”: {“@type”: “PropertyValue”, “name”: “[[BRANDNAME]]”, “value”: “[[IDENTIFIER]]”}, “datePosted”: “2026-07-31T14:48+00:00”, “validThrough”: “2026-08-14T14:48+00:00”, “hiringOrganization”: {“@type”: “Organization”, “name”: “Square One Resources”, “logo”: “https://cjassets-fabkerfbaaayfhdm.z02.azurefd.net/images/jobbranding/220d4f4342c5/images/220d4f4342c5_detail.jpg”}, “jobLocation”: {“@type”: “Place”, “address”: {“@type”: “PostalAddress”, “addressRegion”: “England”, “addressLocality”: “London”, “addressCountry”: “United Kingdom”}, “geo”: {“@type”: “GeoCoordinates”, “latitude”: “51.512”, “longitude”: “-0.065”}}, “url”