AI Solutions Architect - Gen AI, Azure & Financial Services

About the role

This role sits within a leading international financial‑services organisation and is part of an expanding AI and Innovation function. The AI Solutions Architect will take enterprise AI initiatives from initial use‑case discovery through to architecture, governance approval and production delivery.

Key responsibilities

• Design secure, scalable and production‑ready AI solutions that meet business requirements.
• Translate functional requirements into end‑to‑end technical architectures across Azure AI, Microsoft 365 Copilot, Copilot Studio, Power Platform and Google Cloud Platform.
• Apply generative AI patterns such as Retrieval‑Augmented Generation, knowledge grounding, prompt orchestration and human‑in‑the‑loop workflows.
• Lead solution designs through architecture and AI governance forums, producing documentation, integration patterns and technical specifications.
• Collaborate with engineering, security, data‑privacy, risk and business stakeholders to ensure compliance and production readiness.
• Support prototyping, validation, troubleshooting and the hand‑over to operations.

Required profile

• Strong knowledge of AI and generative AI architecture, including large language models and agent‑based solutions.
• Hands‑on experience delivering enterprise AI solutions in regulated environments.
• Broad solution‑architecture expertise across cloud, integration, APIs, security, identity and data flows.
• Experience with Azure AI, Azure OpenAI, Microsoft Copilot, Power Platform or comparable platforms.
• Understanding of responsible AI, guardrails, explainability, governance and data‑privacy requirements.
• Excellent stakeholder‑management and communication skills.
• Financial‑services experience and familiarity with regulations such as the EU AI Act, GDPR or DORA is a plus.

Required skills

• Azure AI
• Azure OpenAI
• Microsoft 365 Copilot
• Copilot Studio
• Power Platform
• Google Cloud Platform (GCP)
• Large Language Models (LLMs)
• Agent‑based AI solutions
• Retrieval‑Augmented Generation (RAG)
• Prompt orchestration
• Human‑in‑the‑loop workflows
• Cloud architecture
• API integration
• Security and identity management
• Data‑privacy and AI governance