Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Join MUFG’s Corporate Technology division in London as a Vice President AI Engineering Team Lead and play a key role in shaping the future of AI within a global financial services leader. Lead and nurture a customer-centric team of AI Engineers, delivering cutting-edge generative AI and machine learning solutions that drive business value across multiple departments. Enjoy flexible working arrangements, generous pension contributions, ongoing training opportunities, and the support of knowledgeable colleagues in an inclusive and collaborative environment.

Responsibilities

Manage and develop a team of approximately five AI Engineers, fostering their growth and capability while setting clear objectives and priorities.
Oversee the design, delivery, and ongoing support of high-quality AI solutions including generative AI models, RAG-based architectures, agentic systems, and machine learning applications.
Collaborate closely with Digital Transformation teams and business stakeholders to understand requirements, shape opportunity pipelines, translate demand into practical roadmaps, and plan team capacity.
Establish and evolve architectural principles, engineering standards, reusable patterns, and quality controls that underpin the development and operation of robust AI solutions.
Evaluate technology options such as platforms, models, vendors, and delivery approaches based on business value, cost-effectiveness, risk management, strategic alignment, and long-term supportability.
Manage the full team development lifecycle including backlog prioritisation, estimates, milestones tracking, risk assessment, issue resolution, dependencies management, documentation oversight, release readiness checks, and reporting.
Provide comprehensive L1,L2,L3 support across all services owned by the team ensuring dependable service delivery to multiple business areas.
Work with Digital Transformation partners to define success measures for projects and track outcomes using evidence-based methods to improve or scale solutions as appropriate.
Stay abreast of emerging technologies and trends in AI engineering while providing expert guidance across products, disciplines, methodologies; ensure best practices are followed for maximum business impact.
Collaborate across AMD’s Digital Delivery pillar to share expertise with other teams; proactively drive cross-team initiatives that enhance ways of working.

Requirements

Demonstrated experience leading engineering teams with proven ability to line manage direct reports effectively in a supportive manner.
Extensive background designing production-grade generative AI solutions including RAG architectures, vector databases, model evaluation frameworks and LLMOps practices.
Deep familiarity with Microsoft Azure or AWS AI platforms/services enabling you to deliver scalable cloud-based solutions.
Comprehensive understanding of machine learning lifecycles as well as application development processes relevant to enterprise environments.
Ability to define technical standards/reference patterns; document architectural decisions; assess alternative technologies/vendors/delivery approaches for optimal outcomes.
Experience providing effective 1st/2nd/3rd line support across multiple business areas ensuring reliable service continuity.
Sound knowledge of security/privacy/responsible AI/data governance/model risk considerations applicable within global financial services or regulated industries.
Excellent communication skills demonstrated by presenting technical strategies/business cases/recommendations clearly to senior leadership audiences.
Proven ability to define measurable outcomes/assess return on investment using evidence-based approaches for continuous improvement.
Degree-educated in Computer Science/Data Science or related discipline or equivalent professional experience.

Skills

Generative AI
Machine Learning
RAG architectures
Vector databases
Model evaluation frameworks
LLMOps practices
Microsoft Azure
AWS AI platforms/services
Cloud-based solutions
Machine learning lifecycles
Application development processes
Technical standards
Architectural decisions
Technology assessment
Vendor assessment
Delivery approach assessment
1st/2nd/3rd line support
Security
Privacy
Responsible AI
Data governance
Model risk
Communication skills
Technical strategy presentation
Business case presentation
Recommendation presentation
Outcome measurement
Return on investment assessment
Continuous improvement

Location

London

Work Type

Flexible working

Experience Level

Vice President
Team Lead

Education Level

Degree-educated in Computer Science/Data Science or related discipline or equivalent professional experience.

Benefits

Generous pension contributions
Ongoing training opportunities

About the Company

MUFG, one of the world’s leading financial groups.
A vision to be the world’s most trusted financial group.
Committed to innovation, supportive leadership, and inclusive culture.
A globally respected financial institution.
MUFG stands out as one of the world’s most trusted financial institutions—valued for its stability/integrity/global reach/commitment to technological advancement.
The Corporate Technology division fosters an inclusive/collaborative environment where employees are encouraged to share ideas/grow professionally/support each other’s ambitions.
MUFG’s dedication to responsible innovation means your work directly contributes not only to organisational success but also broader societal progress—making it an ideal place for those who seek purpose-driven careers within supportive leadership structures.

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.