Vice President, Senior AI Engineer

About the role

Mitsubishi UFJ Financial Group (MUFG) is looking for a Vice President Senior Artificial Intelligence Engineer to join its Corporate Technology team in London. Working within the Architecture, Middleware, Development (AMD) division, you will embed advanced AI technologies across the EMEA region, including retrieval augmented generation (RAG) and agentic models, and take ownership of high-impact AI projects across several business areas.

Key responsibilities

• Collaborate with Digital Transformation teams and business stakeholders to define requirements, prioritise opportunities and set success measures for AI initiatives.
• Evaluate technology options and recommend models and platforms based on business value, cost, risk and long-term supportability.
• Follow the Systems Delivery Lifecycle (SDLC) and governance standards, covering planning, documentation, release readiness, risk management and reporting.
• Define architectural principles, engineering standards, reusable patterns and quality controls for AI solutions.
• Deliver L1, L2 and L3 support for services owned by the AI Engineering team.
• Track outcomes, costs and return on investment, and coach and mentor colleagues while building peer networks across the business.
• Ensure compliance with policies, change management and privileged production access controls.

Required profile

• Degree in Computer Science, Data Science or a related field, or equivalent experience.
• Proven experience delivering AI solutions in large-scale enterprise environments, preferably regulated financial institutions.
• Experience in technology delivery or operations within AI engineering, machine learning or data science, ideally in regulated industries.
• Experience providing 1st, 2nd and 3rd line support across multiple business areas.

Required skills

• Custom Generative AI solutions on Azure (preferred) or AWS, with RAG, vector databases, prompt engineering and model evaluation.
• Structured SDLC, Secure by Design, Architecture Review Board, DPIA, CI/CD pipelines and governance.
• Tools such as LangChain, LangGraph, Azure Foundry, Azure AI, MCP, Python and vector databases.
• Ability to define technical standards and document architectural decisions.

What we offer

• Flexible working arrangements and generous training opportunities.
• A supportive, inclusive culture with coaching, mentoring and continuous improvement.