AI Solutions Architect | London (Hybrid) | Global Banking Group
Salary: Up to £140,000 + 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
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