AI Engineering Enablement Director
LSEG (London Stock Exchange Group)
full-time
Posted on:
Location Type: Office
Location: London • United Kingdom
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Help bring our AI Capability Model to life by turning principles into practical, scalable ways of working
- Enable teams to build secure, responsible, resilient, and cost‑effective AI solutions by creating clear guidance and reusable foundations
- Support lean, continuous assurance that helps teams deliver with confidence
- Turn our AI architecture and governance principles into practical enablers for teams—creating clarity, reusable foundations, and lean assurance needed to support high‑quality 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
- 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 meet governance expectations efficiently
Requirements
- Significant experience in cloud engineering, DevOps, or software delivery (Azure, AWS, or GCP)
- Hands‑on development capability, including practical experience with Python and modern AI frameworks (e.g., LangChain, Semantic Kernel, or similar)
- 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)
- 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.
Benefits
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud engineeringDevOpssoftware deliveryPythonAI frameworksautomated testinginfrastructure-as-codepolicy-as-codeAI observabilityAI risk and governance frameworks
Soft Skills
strong communication skillscollaborationfacilitationknowledge sharingengagement with technical audiencesengagement with non-technical audiencesinclusive approachoutcome-focused approach