Vice President, Senior AI Engineer

Overview

Join MUFG in London as a VP Senior AI Engineer and drive AI-led transformation across the EMEA region. You will design, deliver, and support advanced AI solutions, including RAG and agentic models, to unlock business value in a regulated financial setting. Collaborate with cross-functional teams, uphold governance, and mentor engineers within a values-driven, collaborative culture. This role offers high-impact work at scale with strong emphasis on learning and career growth.

Pay / Benefits

• flexible working opportunities
• generous training opportunities
• supportive leadership
• coaching and mentoring
• inclusive workplace culture
• growth and development emphasis

Responsibilities

• Collaborate with cross-functional teams to identify AI-driven transformation opportunities
• Evaluate cutting-edge technologies and recommend solutions based on business value and risk
• Adhere to MUFG Systems Delivery Lifecycle (SDLC) and governance standards across AI projects
• Provide architectural leadership and establish principles, patterns, and quality controls for AI solutions
• Deliver L1–L3 support to ensure operational reliability of AI services
• Track outcomes, costs, and ROI to inform scaling and optimization of solutions
• Ensure compliance with policies, data protection, change management, and production access controls
• Coach and mentor AI engineering colleagues to build engineering discipline and adoption of best practices
• Build and nurture peer networks across the business to align delivery globally
• Promote MUFG values and foster an inclusive, collaborative culture

Key requirements

• Proven experience delivering sophisticated AI solutions in large-scale, enterprise environments, preferably in regulated financial institutions
• Extensive experience with Generative AI on Azure (preferred) or AWS, including RAG architectures, vector databases, prompt engineering, and model evaluation frameworks
• Strong SDLC background with Secure by Design, Architecture Review Board, Data Protection Impact Assessments, CI/CD, and governance
• Ability to define technical standards and document architectural decisions; evaluate multiple technologies/vendors
• Knowledge of security, privacy, data governance, and model risk within global financial contexts
• Excellent communication skills and ability to translate complex concepts for diverse stakeholders
• Experience defining measurable outcomes and ROI for AI projects using evidence-based methods
• Experience with orchestration/governance/development tools such as LangChain, LangGraph, Azure Foundry, Azure AI, MCP, Python, and vector databases,
• Degree-educated in Computer Science/Data Science or related discipline or equivalent practical experience

• Strong interpersonal skills; ability to build trust with stakeholders
• Clear and simplified communication of complex ideas
• Collaborative mindset with cross-team coordination
• Generative AI solutions on Azure/AWS
• RAG architectures and vector databases
• Prompt engineering and model evaluation frameworks

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