AI Solutions Engineer - £138,000 + Bonus

AI Solutions Architect | London (Hybrid) | Global Banking Group Salary: Up to £138,000 + Bonus A leading global banking and financial services group is expanding its AI & Innovation team within Architecture & Engineering, at a pivotal stage of its enterprise AI journey. We're looking for a hands-on AI Solutions Architect to take end-to-end ownership of AI solution design — from use case intake through to governance approval and production delivery. The Role

• Own AI solutions from initial use case intake through to production deployment
• Translate business requirements into end-to-end solution architectures aligned to enterprise technology stack
• Design and implement AI solutions across Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, and GCP
• Lead solution design through Solution Design Authority (SDA) and internal architecture governance forums
• Own architecture artefacts — design documents, technical specs, integration patterns, governance submissions
• Drive AI governance processes — risk assessments, control alignment, production readiness
• Act as technical point of accountability for solution design decisions across the delivery lifecycle
• Design with full consideration of integration, data flows, identity, security boundaries, and operational resilience
• Support prototyping, validation, and troubleshooting hands-on alongside engineering teams
• Develop reusable architecture patterns and technical guidance for common AI use cases What You'll Bring
• Strong understanding of GenAI solution architectures — LLMs, agent-based patterns, workflow orchestration, enterprise AI integration
• Practical experience with RAG, knowledge grounding, prompt engineering, human-in-the-loop design
• Experience designing secure, governed AI solutions — guardrails, responsible AI, explainability
• Proven delivery of complex technology solutions in a regulated enterprise environment, ownership from requirements through production
• Hands-on solution architecture experience — translating business needs into implementable designs
• Experience with enterprise AI platforms (Microsoft 365 Copilot, Copilot Studio, Azure AI, Power Platform, or equivalent)
• Ability to lead through formal architecture governance processes (SDA or equivalent)
• Experience with AI governance, risk, and control functions — security, data privacy, auditability, regulatory compliance
• Strong technical foundation in enterprise architecture — cloud, infrastructure, networking, IAM, security Desirable
• AI delivery within financial services or another highly regulated industry
• Familiarity with AI governance frameworks — EU AI Act, GDPR, DORA
• Azure AI/Azure OpenAI experience with RAG, grounding, prompt orchestration in practice
• Enterprise data/knowledge architecture — semantic search, vector databases, embeddings
• Exposure to Microsoft Graph, SharePoint, Teams/Outlook integration
• Emerging Microsoft AI ecosystem exposure — Microsoft Foundry, Fabric, or equivalent Reach out to jhayne@hunterbond.com for more info or apply direct