Vice President, Senior AI Engineer

WeAreTechWomen; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Flexible working arrangements

Generous training opportunities

Job summary

MUFG in London is seeking a Vice President Senior Artificial Intelligence Engineer to embed advanced AI across the EMEA region, delivering AI solutions including retrieval augmented generation (RAG) and agentic models, collaborating with stakeholders to realise measurable business value.

You will lead architectural standards, SDLC governance, and cross‑team initiatives while coaching colleagues and promoting an inclusive, values‑led culture.

Qualifications

• Experience delivering AI solutions in large-scale enterprise environments.
• Proven track record building Generative AI on Azure/AWS with RAG and vector databases.
• Strong SDLC/ SbD/ ARB/ DPIA and CI/CD governance experience.
• Define technical standards and document architectural decisions clearly.
• Security, privacy and data governance considerations for regulated industries.
• Excellent communication with diverse stakeholder groups.
• Ability to quantify ROI for AI initiatives using evidence-based methods.
• Expertise in orchestration/governance/development tools (LangChain, Azure Foundry, Python).
• Experience providing 1st–3rd line support for AI services.
• Degree in Computer Science/Data Science or equivalent experience.

Responsibilities

• Collaborate with Digital Transformation teams and stakeholders to define success measures for AI initiatives.
• Evaluate technology options and make recommendations based on business value and risk.
• Adhere to MUFG SDLC and governance with planning, release readiness and risk management.
• Provide leadership in architectural principles and reusable patterns for AI solutions.
• Deliver L1–L3 support for AI services to ensure reliability.
• Track outcomes and ROI using evidence-based approaches for scalability.
• Ensure compliance with change management and privileged production access controls.
• Promote an inclusive culture and coach AI engineering colleagues.
• Establish cross‑team peer networks to share ideas and drive collaboration.

Skills

Generative AI on Azure

RAG architectures

Vector databases

Prompt engineering

Model evaluation

Azure & AWS

Education

Computer Science or Data Science

Tools

LangChain

LangGraph

Azure Foundry

Azure AI

Python

Job description

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.

MUFG, a global leader in financial services, is seeking a Vice President Senior Artificial Intelligence Engineer to join their Corporate Technology team in London. This is an exceptional opportunity for you to play a pivotal role in embedding advanced AI technologies across the EMEA region, working within a highly supportive and inclusive environment that values collaboration, knowledge sharing, and professional growth. As part of the Architecture, Middleware, Development (AMD) division, you will be at the forefront of designing, delivering, and supporting innovative AI solutions, including retrieval augmented generation (RAG) and agentic models that drive digital transformation and business value.

• Join a globally respected financial institution with a strong commitment to inclusivity, diversity, and flexible working opportunities, where your expertise will be valued and nurtured.
• Take ownership of high-impact AI projects across multiple business areas in EMEA, collaborating closely with stakeholders to deliver solutions that transform operations and realise measurable business value.
• Benefit from generous training opportunities, supportive leadership, and a culture that encourages coaching, mentoring, and continuous improvement, ensuring your professional development is always prioritised.

What you'll do:

As a Vice President Senior Artificial Intelligence Engineer at MUFG in London, you will immerse yourself in a dynamic environment where your technical acumen is matched by your ability to connect with stakeholders across the EMEA region. Your day-to-day responsibilities will involve collaborating with cross-functional teams to identify opportunities for AI-driven transformation; evaluating cutting-edge technologies; adhering to rigorous delivery lifecycle processes; providing expert guidance on architectural standards; delivering reliable support services; tracking project outcomes; ensuring compliance; promoting an inclusive culture; coaching colleagues; embedding new disciplines; sharing expertise; building capability across teams; improving ways of working; driving cross-team initiatives; establishing strong peer networks; aligning delivery efforts globally, all while championing MUFG’s values-led approach. Success in this role requires not only deep technical knowledge but also outstanding interpersonal skills that foster trustful relationships throughout the organisation.

• Collaborate extensively with Digital Transformation teams and business stakeholders to understand requirements, contribute to opportunity pipeline prioritisation, and define success measures for AI initiatives.
• Evaluate technology options, including models and platforms, making clear recommendations based on business value, cost efficiency, risk mitigation, strategic alignment, and long-term supportability.
• Adhere strictly to MUFG’s Systems Delivery Lifecycle (SDLC) process and governance standards by ensuring comprehensive planning, documentation, release readiness, risk management, and reporting for all AI projects.
• Provide leadership in establishing architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions throughout the organisation.
• Deliver high-quality L1, L2, and L3 support across all services owned by the AI Engineering team to ensure operational excellence and reliability.
• Work closely with Digital Transformation teams and business owners to track outcomes, costs, and return on investment using evidence-based approaches to improve or scale solutions as needed.
• Ensure all activities comply fully with relevant policies, procedures, controls, including strict adherence to change management protocols and privileged production access management processes.
• Promote MUFG’s values-led culture by fostering an inclusive environment that strengthens business relationships and delivers solutions aligned with organisational goals.
• Coach and mentor AI Engineering colleagues to build strong engineering discipline within the team while proactively identifying new technologies and best practices for adoption.
• Establish robust peer networks across the business to share ideas, align delivery efforts globally, and drive successful outcomes through collaborative initiatives.

What you bring:

To excel as Vice President Senior Artificial Intelligence Engineer at MUFG you will bring proven experience in delivering sophisticated AI solutions within large-scale enterprise environments, preferably regulated financial institutions. Your interpersonal skills are exceptional, you communicate complex ideas simply/connect with stakeholders/build trust/share expertise/nurture talent/promote values-led culture. You are degree-educated or possess equivalent experience demonstrating advanced technical proficiency.

• Extensive experience in technology delivery or operations within AI engineering, machine learning or data science environments - ideally in regulated industries such as financial services.
• Proven track record of building custom Generative AI solutions on Azure (preferred) or AWS platforms with deep familiarity in RAG architectures, vector databases, prompt engineering and model evaluation frameworks.
• Strong background in structured systems development lifecycle (SDLC), including Secure by Design (SbD), Architecture Review Board (ARB), Data Protection Impact Assessment (DPIA), CI/CD pipelines and related governance processes.
• Ability to define technical standards and reference patterns while documenting architectural decisions clearly, assessing alternative technologies/vendors/delivery approaches effectively.
• Comprehensive understanding of security/privacy/responsible AI/data governance/model risk considerations relevant to global financial organisations or equivalent regulated sectors.
• Excellent communication skills enabling you to simplify complex technical concepts for diverse audiences while engaging business stakeholders meaningfully.
• Experience defining measurable outcomes/return on investment for AI projects. using evidence-based methods to assess impact/improve scalability.
• Expertise across orchestration/governance/development tools such as LangChain/LangGraph/Azure Foundry/Azure AI/MCP/Python/vector databases.
• Experience providing effective 1st/2nd/3rd line support across multiple business areas, ensuring operational reliability for mission-critical services.
• Degree-educated in Computer Science/Data Science or related discipline or equivalent practical experience demonstrating advanced technical proficiency.

What sets this company apart:

MUFG stands out as one of the world’s most respected financial institutions. a place where tradition meets forward-thinking innovation. The company is deeply committed to fostering an inclusive workplace that celebrates diversity at every level. Employees benefit from flexible working arrangements designed around their needs as well as generous training opportunities that encourage continuous learning. Supportive leadership ensures every team member feels valued while collaborative networks empower individuals to share ideas freely across departments. At MUFG you’ll find a nurturing environment where your contributions are recognised and where you can grow both personally and professionally alongside knowledgeable colleagues who share your passion for technology-driven transformation. The organisation’s dedication to responsible innovation means you’ll be part of projects that have real impact, not just within MUFG but across the wider industry. With its strong values-led culture focused on integrity/trust/supportiveness/inclusivity/growth leadership/network-building, the company offers an unparalleled platform for talented professionals seeking meaningful careers in artificial intelligence engineering within financial services.

What's next:

If you are ready to make a lasting impact at one of the world’s leading financial institutions—and want your expertise in artificial intelligence engineering to shape the future of digital transformation—this is your moment!

We are open to considering flexible working requests in line with organisational requirements.

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.