AI Engineer, VP at MUFG | GB | Rezi

AI Engineer, VP at MUFG

AI Engineer, VP

MUFG · GB

4 weeks ago

AI Engineer, VP

MUFG · GB

a month ago
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About the Role

As an embedded specialist, you will work closely with leadership, process owners, risk and control stakeholders, technology teams and data owners to design, build and integrate AI solutions that drive measurable outcomes. MUFG offers a supportive environment with access to cutting-edge technology, robust engineering standards and a strong commitment to training and professional development. If you are passionate about translating business priorities into practical AI-enabled outcomes while maintaining the highest standards of governance and compliance, this role is tailored for you.

Responsibilities

  • Collaborate with diverse teams to identify high-impact use cases for AI that directly link to client service enhancement or operational efficiency.
  • Prioritize and deliver high-value AI opportunities by focusing on measurable improvements in productivity, quality, risk management, control effectiveness and client service outcomes.
  • Partner with leaders and process owners to assess current workflows, identify pain points, quantify benefits, define success measures and create practical delivery roadmaps for AI integration.
  • Build, configure and integrate AI solutions using approved enterprise platforms, tools and patterns such as generative AI, agentic workflows, retrieval-augmented generation (RAG), prompt orchestration and workflow automation.
  • Ensure all solutions comply with MUFG's rigorous AI governance framework including model risk management, information security protocols, data privacy requirements, records management policies and regulatory expectations.
  • Design robust controls into AI-enabled processes including human-in-the-loop review mechanisms, explainability features, validation procedures, testing strategies, monitoring systems, exception handling protocols and comprehensive audit trails.
  • Collaborate extensively with Global Markets AI and the AI Centre of Excellence (CoE) to reuse common components, contribute reusable patterns and ensure local delivery remains aligned with enterprise architecture standards.
  • Work alongside technology teams, data specialists, cyber security experts, legal advisors, compliance officers and operational staff to obtain necessary approvals ensuring solutions are supportable, secure and scalable.
  • Deliver rapid prototypes for quick wins while ensuring production solutions meet stringent engineering requirements as well as governance and control expectations.
  • Track post-implementation benefits including run-rate savings, productivity uplift metrics, quality improvement indicators, cycle-time reduction statistics, risk mitigation results and user engagement levels.
  • Provide comprehensive training sessions, clear documentation and practical guidance to users so that AI tools are used responsibly, consistently and effectively.

Requirements

  • Proven experience delivering complex AI automation analytics or workflow solutions within regulated financial services environments.
  • Demonstrated experience designing building or implementing AI generative AI automation analytics or data-driven workflow solutions within corporate or financial services environments.
  • Proven ability to translate business requirements into engineered solutions including process analysis solution design build testing deployment and adoption support.
  • Experience working with governance risk compliance information security data privacy or control requirements in regulated environments.
  • Strong understanding of generative AI concepts including prompt design model selection retrieval-augmented generation embeddings evaluation hallucination risk guardrails and responsible AI controls.
  • Ability to design implement agentic or semi-agentic workflows incorporating human oversight logging validation exception handling mechanisms.
  • Excellent communication skills enabling you to convey technical concepts clearly convert functional problems into practical solution designs for non-technical stakeholders.

Skills

  • Generative AI
  • Agentic workflows
  • Retrieval-augmented generation (RAG)
  • Prompt orchestration
  • Workflow automation
  • Python development
  • SQL databases
  • API integrations
  • Cloud architectures
  • CI/CD pipelines
  • Secure coding practices
  • Testing methodologies
  • Documentation standards
  • Azure
  • AWS
  • Snowflake

Location

  • London

Work Type

  • Flexible working

Experience Level

  • Proven experience
  • Advanced skills

Benefits

  • Supportive leadership
  • Inclusive workplace culture
  • Ongoing training opportunities
  • Generous pension contributions
  • Knowledge sharing initiatives
  • Dependable networks
  • Collaborative teams
  • Growth-focused leadership approaches
  • Transparent governance structures
  • Access to state-of-the-art technology platforms

About the Company

  • MUFG is one of the world’s leading financial groups.
  • 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.

Equal Opportunity

  • MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count.
  • We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
  • We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.