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AI Enablement Engineer, EU ITO (International Technology Organisation)

ExperiencedVisa sponsorship available
Vanguard logo

at Vanguard

Asset Management

Posted 11 days ago

No clicks

**AI Enablement Engineer, EU ITO | Accelerate AI Adoption & Build Real-World AI Services** The AI Enablement Engineer drives AI adoption across EU technology delivery, part of Vanguard Europe’s AI CoE within the ITO Organization. This hands-on engineer role involves: - Building, integrating, & supporting production-grade AI platforms/services - Developing AI-enabled developer tooling & embedding AI into the SDLC - Partnering with engineering teams to adopt AI-powered workflows - Collaborating with AI & Data Architect and broader leadership for architectural direction Ideal candidates bring solid software engineering foundations, emerging AI/large language model experience, and enthusiasm for AI. Requirements include: - Strong software engineering experience with modern programming languages & cloud-native development - Hands-on experience building apps/services using large language models - Familiarity with AI/ML platforms & APIs, operating in fast-paced, ambiguous environments - Excellent communication skills & experience working in cross-functional teams Vanguard, a global investment company, promotes diversity, inclusion, and a hybrid work model. Visit their careers page for more details.

Compensation
Not specified GBP

Currency: £ (GBP)

City
Manchester
Country
United Kingdom

Full Job Description

The Role

The AI Enablement Engineer is a hands-on engineering role within the loom team, Vanguard Europes AI Centre of Excellence (COE) within the ITO Organisation. Loom exists to accelerate AI adoption across European technology delivery, and the AI Enablement Engineer is central to making that happen.

This role has two core dimensions. First, enabling AI platforms and services across EU technology in partnership with enterprise teams requiring building, integrating, and supporting production AI capabilities that delivery teams consume. Second, evangelising AI and agentic engineering across the organisation by helping engineering teams adopt an AI-powered software development lifecycle (SDLC) through tooling, education, and hands-on enablement.

This is not a strategy or advisory role. The AI Enablement Engineer writes code, builds AI services, creates developer tools, and works directly with engineering teams to embed AI into how they work. You will be supported by an experienced AI & Data Architect who provides architectural direction, a Product Manager who coordinates delivery priorities, and the broader Architecture & CTO leadership team, but you are expected to be self-motivated, curious, and comfortable working at the pace AI demands.

The ideal candidate brings solid software engineering foundations with emerging AI / large language model experience and a genuine enthusiasm for the space. You do not need to be a deep AI specialist, but you do need to have built something real with large language models and be excited about building more.

In this role you will

  • Build, integrate, and support production-grade AI platforms, services, and APIs for use by EU delivery teams

  • Develop AI-enabled developer tooling, agentic workflows, and SDKs that embed AI into the software development lifecycle

  • Partner directly with engineering teams to enable the adoption of AI-powered workflows through hands-on pairing, workshops, and embedded delivery support

  • Collaborate with enterprise AI, platform, security, and compliance teams to ensure AI services meet regulatory, risk, and operational standards

  • Contribute working code, proofs of concept, and reference implementations demonstrating best practices in applied AI engineering

  • Continuously evaluate emerging AI tools, frameworks, and models, and translate them into pragmatic, production-ready capabilities

  • Participate in architecture reviews, design discussions, and technical communities to shape AI adoption across Europe

  • Ensure solutions comply with information security, data protection, and risk management requirements appropriate to a financial services environment

  • Participate in special projects and perform other duties as assigned

What it takes

  • Strong software engineering experience with one or more modern programming languages and cloud-native development practices

  • Hands-on experience building applications or services using large language models (e.g. prompt engineering, orchestration, evaluation)

  • Familiarity with AI/ML platforms, APIs, and tooling within a production engineering context

  • Experience working in cross-functional teams, partnering closely with engineers, architects, and product managers

  • Comfortable operating in an ambiguous, fast-moving environment with evolving tools and requirements

  • Strong communication skills and a willingness to teach, mentor, and evangelise new ways of working

  • Experience working in financial services or another regulated industry is desirable but not essential

  • Undergraduate degree or equivalent combination of training and experience

Special Factors

  • Vanguard is not offering visa sponsorship for this position

  • This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday)

Why Vanguard?

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It's what we stand for: value to investors.

Inclusion Statement

Vanguards continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: Do the right thing.

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguards core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

AI Enablement Engineer, EU ITO (International Technology Organisation)

Compensation

Not specified GBP

City: Manchester

Country: United Kingdom

Vanguard logo
Asset Management

11 days ago

No clicks

at Vanguard

ExperiencedVisa sponsorship available

**AI Enablement Engineer, EU ITO | Accelerate AI Adoption & Build Real-World AI Services** The AI Enablement Engineer drives AI adoption across EU technology delivery, part of Vanguard Europe’s AI CoE within the ITO Organization. This hands-on engineer role involves: - Building, integrating, & supporting production-grade AI platforms/services - Developing AI-enabled developer tooling & embedding AI into the SDLC - Partnering with engineering teams to adopt AI-powered workflows - Collaborating with AI & Data Architect and broader leadership for architectural direction Ideal candidates bring solid software engineering foundations, emerging AI/large language model experience, and enthusiasm for AI. Requirements include: - Strong software engineering experience with modern programming languages & cloud-native development - Hands-on experience building apps/services using large language models - Familiarity with AI/ML platforms & APIs, operating in fast-paced, ambiguous environments - Excellent communication skills & experience working in cross-functional teams Vanguard, a global investment company, promotes diversity, inclusion, and a hybrid work model. Visit their careers page for more details.

Full Job Description

The Role

The AI Enablement Engineer is a hands-on engineering role within the loom team, Vanguard Europes AI Centre of Excellence (COE) within the ITO Organisation. Loom exists to accelerate AI adoption across European technology delivery, and the AI Enablement Engineer is central to making that happen.

This role has two core dimensions. First, enabling AI platforms and services across EU technology in partnership with enterprise teams requiring building, integrating, and supporting production AI capabilities that delivery teams consume. Second, evangelising AI and agentic engineering across the organisation by helping engineering teams adopt an AI-powered software development lifecycle (SDLC) through tooling, education, and hands-on enablement.

This is not a strategy or advisory role. The AI Enablement Engineer writes code, builds AI services, creates developer tools, and works directly with engineering teams to embed AI into how they work. You will be supported by an experienced AI & Data Architect who provides architectural direction, a Product Manager who coordinates delivery priorities, and the broader Architecture & CTO leadership team, but you are expected to be self-motivated, curious, and comfortable working at the pace AI demands.

The ideal candidate brings solid software engineering foundations with emerging AI / large language model experience and a genuine enthusiasm for the space. You do not need to be a deep AI specialist, but you do need to have built something real with large language models and be excited about building more.

In this role you will

  • Build, integrate, and support production-grade AI platforms, services, and APIs for use by EU delivery teams

  • Develop AI-enabled developer tooling, agentic workflows, and SDKs that embed AI into the software development lifecycle

  • Partner directly with engineering teams to enable the adoption of AI-powered workflows through hands-on pairing, workshops, and embedded delivery support

  • Collaborate with enterprise AI, platform, security, and compliance teams to ensure AI services meet regulatory, risk, and operational standards

  • Contribute working code, proofs of concept, and reference implementations demonstrating best practices in applied AI engineering

  • Continuously evaluate emerging AI tools, frameworks, and models, and translate them into pragmatic, production-ready capabilities

  • Participate in architecture reviews, design discussions, and technical communities to shape AI adoption across Europe

  • Ensure solutions comply with information security, data protection, and risk management requirements appropriate to a financial services environment

  • Participate in special projects and perform other duties as assigned

What it takes

  • Strong software engineering experience with one or more modern programming languages and cloud-native development practices

  • Hands-on experience building applications or services using large language models (e.g. prompt engineering, orchestration, evaluation)

  • Familiarity with AI/ML platforms, APIs, and tooling within a production engineering context

  • Experience working in cross-functional teams, partnering closely with engineers, architects, and product managers

  • Comfortable operating in an ambiguous, fast-moving environment with evolving tools and requirements

  • Strong communication skills and a willingness to teach, mentor, and evangelise new ways of working

  • Experience working in financial services or another regulated industry is desirable but not essential

  • Undergraduate degree or equivalent combination of training and experience

Special Factors

  • Vanguard is not offering visa sponsorship for this position

  • This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday)

Why Vanguard?

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It's what we stand for: value to investors.

Inclusion Statement

Vanguards continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: Do the right thing.

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguards core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.