Job description

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 commitment 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. We are looking for a hands-on AI Product Co-Developer to join our team building production-grade agentic AI systems for complex, data-intensive environments. This is a hybrid role sitting at the intersection of product thinking and engineering depth — you will both define what gets built and actively build it, working across the full lifecycle from discovery and requirements through to deployment and iteration. ROLE RESPONSIBILITIES & KEY ACCOUNTABILITIES Contribute to the full AI product lifecycle: discovery, requirements definition, development, testing, and deployment Design, build, and iterate on LLM-powered agentic workflows for complex, data-intensive use cases, applying sound orchestration patterns and tool-use design Translate business and user needs into clear, actionable product requirements and agent configurations Define and monitor product performance metrics and acceptance criteria for AI outputs in production — covering accuracy, latency, cost, and auditability Manage the post-launch product lifecycle: track performance, gather user feedback, and contribute to model or feature refresh cycles Contribute to system optimisation across performance, cost, and operational constraints Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards Maintain a forward-looking view on the evolving AI landscape — including model capabilities, agentic frameworks, and emerging protocol standards — and translate relevant developments into product opportunities Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities Support demos and presentations of prototypes and new capabilities to internal and external audiences Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams QUALIFICATIONS & EXPERIENCE 5 years of experience spanning software or ML engineering and product development, or a closely related combination — we value technical depth and product ownership in equal measure Demonstrated hands-on experience building with LLMs and/or agentic frameworks — shipped products or features preferred over academic work Working knowledge of how large language models and agentic systems behave in production - including tool use, prompt design, orchestration patterns, output variability, and failure modes Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support Experience evaluating and testing AI outputs — defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure Experience with real-time or near-real-time data systems, with a natural sensitivity to latency, throughput, and cost trade-offs Familiarity with responsible AI principles — including data quality, model performance monitoring, and bias considerations — and their implications for product design in regulated environments Comfortable working across technical and commercial stakeholders — able to translate product decisions clearly for engineering teams and client-facing audiences alike Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity is an advantage BA, BS, or Master s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience Career Stage: Manager Compensation/Benefits Information: LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $126,900 - $211,500. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc. 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.

Requirements

Must-haves

Contribute to the full AI product lifecycle: discovery, requirements definition, development, testing, and deployment
Design, build, and iterate on LLM-powered agentic workflows for complex, data-intensive use cases, applying sound orchestration patterns and tool-use design
Translate business and user needs into clear, actionable product requirements and agent configurations
Define and monitor product performance metrics and acceptance criteria for AI outputs in production — covering accuracy, latency, cost, and auditability
Manage the post-launch product lifecycle: track performance, gather user feedback, and contribute to model or feature refresh cycles
Contribute to system optimisation across performance, cost, and operational constraints
Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards
Maintain a forward-looking view on the evolving AI landscape — including model capabilities, agentic frameworks, and emerging protocol standards — and translate relevant developments into product opportunities
Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities
Support demos and presentations of prototypes and new capabilities to internal and external audiences
Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams
5 years of experience spanning software or ML engineering and product development, or a closely related combination — we value technical depth and product ownership in equal measure
Working knowledge of how large language models and agentic systems behave in production - including tool use, prompt design, orchestration patterns, output variability, and failure modes
Ability to write clear product requirements and define, review, and challenge technical specifications without requiring engineering support
Experience evaluating and testing AI outputs — defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues
Solid Python skills and familiarity with APIs, data pipelines, and cloud infrastructure
Experience with real-time or near-real-time data systems, with a natural sensitivity to latency, throughput, and cost trade-offs
Familiarity with responsible AI principles — including data quality, model performance monitoring, and bias considerations — and their implications for product design in regulated environments
Comfortable working across technical and commercial stakeholders — able to translate product decisions clearly for engineering teams and client-facing audiences alike
Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity is an advantage
BA, BS, or Master s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $126,900 - $211,500.
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.

Nice-to-haves

Demonstrated hands-on experience building with LLMs and/or agentic frameworks — shipped products or features preferred over academic work

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness