At a Glance
- Tasks: Build and scale AI Productivity Platforms using cutting-edge technologies.
- Company: Join the London Stock Exchange Group, a leader in financial markets infrastructure.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Be part of a diverse team that values innovation and sustainability.
- Why this job: Make a real impact by embedding AI into enterprise systems and workflows.
- Qualifications: Strong programming skills and experience with AI platforms like ChatGPT and Microsoft Copilot.
The predicted salary is between 60000 - 75000 £ per year.
Digital Operations, part of the LSEG Infrastructure & Cloud organisation, is seeking a Senior AI Engineer to build and scale AI Productivity Platforms across the enterprise. This role will focus on hands-on engineering, integration, and operationalisation of enterprise AI platforms — ChatGPT, Claude, Microsoft Copilot and future GenAI capabilities — ensuring secure, scalable, compliant, and high-impact adoption across LSEG.
The successful candidate will design and implement integrations, develop automation workflows, and embed AI capabilities directly into enterprise systems and business processes. We are looking for a strong engineer with deep technical expertise in building AI-enabled systems and integrations from the ground up — including APIs, connectors, retrieval pipelines, agent frameworks, and automation tooling. The role requires hands-on experience across SaaS platforms, REST and event-driven architectures, scripting, identity integration, and secure enterprise development practices.
This role will play a critical part in driving measurable productivity improvements by embedding AI into engineering, operations, and corporate workflows across Markets, Data & Analytics, and Corporate functions. This role will work closely with AI architects, platform leaders, and regional engineering squads, partnering with Cyber Security, Risk, and Infrastructure teams to ensure safe, governed, and scalable AI platform adoption.
Key Responsibilities- Design, build, and maintain integrations between AI platforms (ChatGPT, Claude, Microsoft Copilot) and enterprise systems.
- Develop and deploy connectors, APIs, and automation workflows.
- Implement context management frameworks including MCP and support A2A communication patterns.
- Build and optimise RAG pipelines, including document ingestion and vector storage.
- Develop AI-driven automation solutions to improve productivity.
- Implement secure API integrations including authentication and data protection.
- Embed AI capabilities into SDLC processes and developer tooling.
- Implement guardrails such as prompt validation and data leakage prevention.
- Collaborate with architecture, security, and platform teams to meet enterprise standards.
- Monitor and optimize performance of AI systems.
- Contribute to experimentation and rapid prototyping.
- Support adoption through reusable components and templates.
- Proven experience as a Senior Software Engineer or AI Engineer in an enterprise environment.
- Strong programming skills (Python, TypeScript or similar).
- Experience with enterprise AI/LLM platforms (ChatGPT, Claude, Microsoft Copilot).
- Solid understanding of LLM concepts (embeddings, prompt engineering, RAG).
- Experience building RAG pipelines and working with vector databases.
- Knowledge of MCP and/or agent-based architectures.
- Experience with REST APIs, webhooks, and microservices.
- Understanding of IAM (OAuth2, OIDC, RBAC).
- Experience implementing enterprise security controls and DLP.
- Familiarity with AI safety and guardrails.
- Experience with cloud-native development and containerisation.
- Strong debugging and system design skills.
- Ability to collaborate with senior stakeholders.
- Experience in regulated environments with ITSM processes.
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 values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day.
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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Lead AI Engineer, AI Productivity employer: London Stock Exchange Group
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Our commitment to employee growth is evident through tailored benefits, including healthcare, retirement planning, and paid volunteering days, all while fostering a culture that values diversity and encourages new ideas. Join us to make a meaningful impact in the financial markets infrastructure sector, where your individuality is celebrated and your contributions drive sustainable growth.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer, AI Productivity
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We think you need these skills to ace Lead AI Engineer, AI Productivity
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at London Stock Exchange Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at London Stock Exchange Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at London Stock Exchange Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If London Stock Exchange Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
