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# Vice President, AI Engineering Team Lead

- **Company:** MUFG
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £40,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Cloud Computing, Continuous Integration, Data Governance, Programming Tools, Github, Design of User Interfaces, Machine Learning, Microsoft Copilot, GitHub Copilot, Retrieval-Augmented Generation, Model Validation, Information Technology, Atlassian Tools, Machine Learning Operations
- **Published:** October 28, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5943372198

## About the Role

* We seek an engineering leader with proven experience leading and line-managing teams in complex, collaborative environments.
 * You have demonstrated experience delivering production-grade generative AI solutions, including RAG architectures, vector databases, and model evaluation frameworks, with an emphasis on scalable, repeatable delivery.
 * You bring deep expertise designing solutions on Microsoft Azure or AWS and a strong understanding of Secure by Design (SbD), Architecture Review Board (ARB), Data Protection Impact Assessment (DPIA), and CI/CD pipelines.
 * You can define technical standards and reference patterns, document architectural decisions, and assess technologies, vendors, and delivery approaches.
 * You have comprehensive knowledge of security, privacy, responsible AI, data governance, and model risk in global financial services or similarly regulated industries.
 * You communicate technical strategies, business cases, and recommendations clearly to senior leaders, and can define measurable outcomes and assess return on investment.
 * You are experienced with AI engineering orchestration, governance, and development tools; familiarity with AI-assisted tools such as GitHub Copilot is beneficial.
 * Experience in machine learning, data science, MLOps, or LLMOps is desirable. Experience providing first-, second-, or third-line support across multiple business areas is also beneficial.
 * Understanding of application user-interface design best practices and proficiency with Jira and Confluence are advantageous.
 * You have a degree in Computer Science, Data Science, or a related discipline, or equivalent experience demonstrating deep technical capability.

## Description

* Lead a team of approximately five AI Engineers in designing, developing, deploying, and supporting production-grade generative AI solutions, including RAG architectures and agentic systems.
 * Establish and grow our AI Centre of Excellence, taking end-to-end responsibility for solution design, delivery, and support.
 * Work with Digital Transformation teams and business stakeholders to understand requirements, prioritize use cases, create practical roadmaps, and plan delivery capacity.
 * Set architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions in a regulated environment.
 * Assess technology platforms, including Microsoft Azure and AWS, against business value, cost, risk, strategic alignment, and long-term supportability.
 * Manage team delivery through backlog management, estimates, milestone tracking, risk assessment, documentation, release readiness, and reporting.
 * Oversee change management and privileged production access, and establish technical guardrails that keep solutions within acceptable risk limits and regulatory requirements.
 * Provide support for team-owned services, work with business owners to define success measures, and track outcomes to guide improvement.
 * Build a customer-centric team culture, strengthen business relationships, and deliver solutions that provide tangible business value.
 * Champion AI technologies and best practices, and collaborate with colleagues across EMEA, the US, and Asia to share learning and advance scalable adoption.

Technologies:

 * AI
 * AWS
 * Azure
 * CI/CD
 * Copilot
 * Confluence
 * GitHub
 * Support
 * JIRA
 * Machine Learning
 * MLOps
 * Network
 * RAG
 * Security
 * Cloud