Gen AI Solution Architect
Computer Futures
Bracknell, UK
12 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Microsoft Windows
Artificial Intelligence
Data Analysis
Architectural Patterns
Audit Trail
Microsoft Azure
Decision Support Systems
Identity and Access Management
Microsoft Software
Software Product Management
Multi-Agent Systems
Generative AI
+3 more
AI Platforms
Kubernetes
Virtual Agents
Job description
Gen AI Solution Architect - Inside/ 12 Months/ remote A leading international organisation is seeking an experienced Gen AI Solution Architect to drive the design, governance and adoption of enterprise-scale Generative AI and Agentic AI solutions. This role will play a key part in shaping the organisation’s AI strategy, defining reusable architectural patterns, and ensuring AI initiatives deliver measurable business value in a secure and scalable manner. Key Responsibilities
- Collaborate with senior stakeholders to define AI product vision, roadmap, ownership and value realisation.
- Design end-to-end Generative AI and Agentic AI architectures using the Microsoft technology stack.
- Develop reusable patterns and frameworks for:
- Retrieval-Augmented Generation (RAG)
- Agent orchestration
- Multi-agent collaboration
- Knowledge retrieval
- Human-in-the-loop workflows and decision support
- Ensure AI solutions align with security, privacy, compliance and governance requirements.
- Support the development of observability, monitoring and interoperability capabilities.
- Embed controls for access management, auditability, transparency and accountability.
- Assess AI vendors, platforms and models to support build vs buy decisions.
- Monitor emerging AI technologies and identify opportunities to create business value.
Requirements
- Proven experience as a Solution Architect, AI Architect or similar role within large and complex enterprise environments.
- Strong experience across Microsoft Azure, Microsoft 365, Copilot, Power Platform and Fabric.
- Deep understanding of Generative AI, Agentic AI, RAG architectures, orchestration frameworks and automation patterns.
- Experience designing secure, scalable and governed AI solutions.
- Strong understanding of security, privacy, compliance and governance frameworks.
- Excellent stakeholder management, communication and influencing skills.
- Ability to translate strategic objectives into practical technology solutions.
- Experience defining business outcomes, success metrics and value realisation frameworks.
Desirable Experience
- Copilot Studio, Azure AI Foundry and Azure OpenAI.
- Experience with emerging agent-based AI platforms and frameworks.
- Implementation of Responsible AI policies and governance controls.
- Data, analytics, digital transformation or enterprise platform programme experience.
- Building reusable AI products, services or accelerators.
- Microsoft certifications across Azure, AI, Architecture, Fabric or Power Platform.
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