Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
Job Profile
We are seeking an experienced Assistant Vice President (AVP) Full Stack AI Engineer to lead the design, development, modernization and support of business-critical TPS applications. The role provides hands-on technical leadership across full stack application engineering, infrastructure and platform changes, production readiness and AI-enabled software engineering practices. The successful candidate will deliver secure, scalable, resilient and maintainable solutions in a regulated financial services environment, while guiding engineers and collaborating with business, architecture, infrastructure, security and operations stakeholders.
Key Technical Skills
• Enterprise AI coding assistants, GitHub Copilot or equivalent approved tools, and AI-enabled SDLC practices
• Java and J2EE
• ReactJS, HTML5, CSS3 and JSX
• JavaScript fundamentals and ES6+
• Node.js, npm and Redux
• Git and modern source-control practices
• RESTful APIs, distributed systems and multi-tier architectures
• Relational databases and enterprise integration patterns
• CI/CD, DevSecOps, static and dynamic code analysis, and automated testing
• AWS, container platforms, Kubernetes and Infrastructure as Code
• Monitoring, observability, resilience and disaster-recovery practices
Additional Requirements
• Ability to work effectively in a dynamic, fast-changing environment and manage competing priorities.
• Strong collaboration skills and the ability to influence cross-functional and geographically distributed teams.
• Excellent verbal and written communication skills, including the ability to present technical concepts to senior technical and non-technical stakeholders.
• Strong ownership, judgement, structured problem-solving and delivery discipline.
• Willingness to support planned production deployments, including occasional weekend activities when required.
Responsibilities for This Role
• AI-Enabled SDLC: Identify and implement approved AI use cases across requirements analysis, code generation, code review, test generation, documentation, defect analysis and engineering knowledge management.
• Responsible AI Governance: Ensure AI-generated outputs are subject to appropriate human review and controls for correctness, security, privacy, intellectual property, regulatory compliance, auditability and traceability.
• AI Adoption and Measurement: Guide onboarding and adoption of enterprise-approved AI coding assistants and engineering agents, and measure outcomes using agreed indicators for adoption, quality, rework, testing efficiency and delivery flow.
• Application and System Development: Lead end-to-end design, development, modernization, testing, release and support of full stack application solutions that integrate with enterprise applications and legacy systems.
• Technical Design and Engineering Governance: Own solution design, conduct design and code reviews, guide technology choices, and establish standards for clean code, reusable components, API design, automated testing, security and documentation.
• Infrastructure and Platform Changes: Lead and coordinate changes covering hosting, middleware, databases, network connectivity,…