We're partnering with a leading global bank to hire an AI Solutions Architect to join a growing enterprise AI function. This is a hands-on architecture role focused on designing and delivering secure, scalable AI solutions across a complex, regulated environment.
The successful candidate will take ownership of AI solutions from discovery through to production, working closely with business stakeholders, engineering teams, architecture, security and governance functions.
Key Responsibilities
* Design end-to-end enterprise AI solutions from business requirements through to production deployment.
* Lead architecture across Generative AI initiatives, ensuring solutions are secure, scalable and aligned with enterprise standards.
* Drive solution design through architecture governance and approval processes.
* Produce architecture documentation, technical designs and integration specifications.
* Work closely with engineering teams to support prototyping, implementation and production readiness.
* Ensure solutions meet security, data privacy, risk and regulatory requirements.
* Develop reusable AI architecture patterns, standards and best practices.
Technical Experience Required
* Strong experience designing enterprise AI and Generative AI solutions.
* Deep understanding of LLMs, AI agents, workflow orchestration and enterprise AI integration.
* Experience with RAG (Retrieval-Augmented Generation), prompt engineering, grounding and human-in-the-loop architectures.
* Hands-on experience with Microsoft AI technologies including Microsoft 365 Copilot, Copilot Studio, Azure AI Services and Power Platform.
* Experience designing solutions across Azure and cloud-based enterprise platforms.
* Strong enterprise architecture background covering cloud, infrastructure, APIs, integration, networking, identity \& access management and security.
* Experience delivering architecture within regulated environments such as financial services.
* Proven ability to lead solution architecture through governance and design authority processes.
* Strong stakeholder management skills with the ability to communicate technical concepts to both technical and non-technical audiences.
Desirable
* Financial Services or other highly regulated industry experience.
* Knowledge of AI governance frameworks, GDPR, DORA and EU AI Act
* Experience with Azure OpenAI, semantic search, vector databases and enterprise knowledge platforms.
* Exposure to Microsoft Graph, SharePoint and Microsoft Fabric.
* Experience implementing Responsible AI controls, model monitoring and guardrails.
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