AI Engineering Enablement Director

Reposted 22 Days Ago
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London, Greater London, England, GBR
In-Office
Expert/Leader
Fintech • Analytics
The Role
The role involves enabling AI governance and engineering efforts by providing practical guidance, developing reusable assets, and ensuring continuous assurance across AI initiatives. The director will drive high-quality delivery, compliance, and responsible AI practices across the organization.
Summary Generated by Built In

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.  We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE PURPOSE:

Help bring our AI Capability Model to life by turning principles into practical, scalable ways of working. You will enable teams to build secure, responsible, resilient, and cost‑effective AI solutions by creating clear guidance and reusable foundations, and by supporting lean, continuous assurance that helps teams deliver with confidence.

ROLE SUMMARY:
This role operates across the AI Governance ,  AI Engineering  and our center of excellence supporting our business objectives with robust and manageable AI solutions.

WHAT YOU'LL BE DOING:

You will turn our AI architecture and governance principles into practical enablers for teams—creating the clarity, reusable foundations, and lean assurance needed to support high‑quality delivery, steady velocity, and responsible growth across the organisation.

A) Turn principles into adoptable practice (Enablement)

  • Translate high‑level architecture and governance guidance into practical, reusable assets that support consistent, scalable delivery.

  • Contribute to defining enabling services that help teams deliver and operate AI solutions safely and reliably.

  • Develop and maintain a library of reference artefacts (templates, examples, checklists) that support effective adoption of recommended practices.

  • Lead and facilitate the AI engineering knowledge and community activities—curating content, running learning sessions, and integrating feedback into improved guidance.

  • Review and adapt industry best practices, working with internal experts to publish reusable patterns and architectural recommendations.

B) Make assurance practical, lean, and continuous (Controls)

  • Support and refine a streamlined, evidence‑based assurance approach that provides clear visibility across AI initiatives and their lifecycle.

  • Promote and enable automation of key checks within delivery workflows to help teams meet governance expectations efficiently.

  • Collaborate with architecture, governance, risk, security, product, and finance teams to align standards and close enablement gaps.

  • Ensure engineering practices remain aligned with relevant risk and compliance frameworks through clear, auditable evidence.

C) Curate reference assets for speed and consistency

  • Develop and evolve technology and project reference materials that support consistent assessment of fit, risks, and operating considerations.

  • Define and maintain criteria for reusable or endorsed patterns to support clarity and consistency across teams.

D) Keep us connected to the market

  • Monitor emerging industry practices, standards, and partner activity to maintain an outside‑in perspective.

  • Translate external insights into practical internal guidance and reusable artefacts for teams.

OUTCOMES YOU'LL DRIVE:

  • AI initiatives are focused, prioritised, and progress efficiently through a streamlined intake and assessment flow.

  • Solutions are secure, resilient, and well‑governed, with risks managed early and proportionately.

  • Engineering teams adopt practical standards and reusable patterns, improving quality and delivery velocity.

  • AI systems are observable and reliable in production, with behaviour that remains stable over time.

  • AI resources are used efficiently and responsibly, supporting sustainable and cost‑aware operation.

  • AI development reflects responsible and ethical principles, including fairness, transparency, and strong data stewardship.

WHAT YOU'LL BRING:

  • Significant experience in cloud engineering, DevOps, or software delivery (Azure, AWS, or GCP), with a track record of incremental, agile delivery.

  • Hands‑on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar) to build or support agents, chat interfaces, or retrieval‑augmented solutions.

  • Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative releases, and working with CI/CD pipelines.

  • Experience in AI/ML, software, or platform engineering, with exposure to automated testing and infrastructure‑as‑code or policy‑as‑code.

  • Working knowledge of AI observability (logs, metrics, traces, behavioural signals) and practical methods to evaluate or improve AI system behaviour.

  • Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF or similar) and the ability to align engineering practices with evidence packs.

  • Experience creating or curating engineering enablement assets such as templates, patterns, playbooks, or reusable guidance.

  • Strong communication skills, able to explain complex concepts clearly and engage confidently with both technical and non‑technical audiences.

  • Ability to collaborate across diverse domains—architecture, security, privacy, product, engineering, and FinOps—using an inclusive and outcome‑focused approach.

  • Comfort facilitating knowledge‑sharing sessions, clinics, or community forums.

Nice to have:

  • Experience contributing to governance or assurance processes, including lightweight control models, intake or assessment flows, or dashboard‑based visibility.

  • Exposure to AI FinOps, such as cost‑aware model selection, unit economics, or prompt‑efficiency practices.

  • Experience with MLOps or AI delivery tooling, or with AI‑specific observability systems.

  • Participation in industry communities or standards bodies, with the ability to translate external practice into internal adoption.

  • Experience facilitating workshops or engineering enablement events.

  • Familiarity with AI‑specific challenges, such as explainability, drift, data lineage, or safe release practices.

  • Understanding of operational quality practices, such as retrieval wiring, guardrails, or policy‑as‑code patterns.

WAYS OF WORKING:

  • Operates with a bias toward automation, self‑service, and continuous improvement, using data‑driven decisions and a growth mindset.

  • Acts in a lean, risk‑aware, and responsible way, ensuring trusted outcomes for the business, customers, and society.

Career Stage:

Director

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills Required

  • Significant experience in cloud engineering, DevOps, or software delivery (Azure, AWS, or GCP)
  • Hands-on development capability with Python and modern AI frameworks
  • Experience applying software engineering fundamentals and working with CI/CD pipelines
  • Experience in AI/ML, software, or platform engineering
  • Working knowledge of AI risk and governance frameworks
  • Strong communication skills for engaging technical and non-technical audiences
  • Ability to collaborate across diverse domains
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The Company
HQ: London
15,967 Employees

What We Do

LSEG (London Stock Exchange Group) is a diversified international markets infrastructure business —earning our clients’ trust for over 300 years. That legacy of customer-focused excellence ensures that you can rely on our expertise in capital formation, intellectual property and risk and balance sheet management. As global leaders in financial indexing, benchmarking and analytic services, we offer unrivalled access to international capital markets. Our high-performance technology solutions enable companies worldwide to access funds for growth and development. And with our Data & Analytics, Capital Markets and Post Trade divisions, we provide a comprehensive, integrated suite of trusted financial market infrastructure services that help our customers pursue—and achieve—their ambitions. You can count on our open access model for unparalleled partnership, flexibility, stability, and support across all of our businesses. That’s how we make a difference— ensuring people can meet their potential—worldwide.

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