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About the Role

The AI Strategy Lead is a hands-on leadership role responsible for defining and executing the AI strategy across FX trading platforms and engineering functions. This role combines strategic ownership with direct technical involvement in building and scaling AI-driven solutions. Reporting to the Director of FX Exchange Engineering, this individual will work closely with engineering leads, product, and architecture teams to translate AI opportunities into production-grade solutions, with a strong focus on standardization, platform reuse, and measurable impact.

Responsibilities

• Define and drive the AI strategy aligned to FX platform and engineering priorities.
• Personally contribute to the design and implementation of AI/ML solutions (e.g., prototypes, frameworks, integrations).
• Lead by example in moving from PoCs to production-grade systems.
• Identify and prioritize high-impact use cases such as AI-driven test automation, intelligent workflow automation, and developer productivity.
• Work directly with teams on architecture, design, and implementation of AI solutions.
• Contribute to code, frameworks, or reusable components where needed.
• Establish engineering best practices for model integration into Java-based services, API-driven AI services, and messaging-based integration.
• Drive adoption of common libraries, shared frameworks, and reusable services.
• Define and implement a shared AI platform approach aligned with enterprise architecture, including common APIs, reusable components, and integration with existing platform constructs.
• Avoid one-off solutions by enforcing platform-first design and reuse.
• Partner with global engineering teams to deliver AI-enabled capabilities.
• Ensure clear ownership, execution tracking, and delivery accountability.
• Actively unblock teams and resolve technical or execution challenges.
• Drive best practices for deploying and managing AI solutions in production, including model lifecycle management, monitoring, observability, performance tuning, and CI/CD integration.
• Ensure solutions are scalable, secure, and compliant with enterprise requirements.
• Implement practical governance for AI usage (data quality, explainability, auditability).
• Ensure compliance with regulatory expectations for financial systems.
• Define guardrails for GenAI adoption (security, data leakage, model usage).
• Evaluate emerging technologies (GenAI, LLMs, AI agents) with a focus on real engineering impact.
• Lead targeted PoCs with a clear path to production or discard.
• Introduce tooling and frameworks that improve engineering productivity.
• Mentor engineers and leads on AI/ML concepts and implementation patterns.
• Upskill existing teams rather than relying solely on specialist roles.
• Influence hiring strategy for targeted AI/ML skills where needed.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of software engineering experience, with hands-on development background.
• Demonstrated experience delivering AI/ML or data-driven solutions in production.
• Strong programming experience (preferably Java or similar enterprise stack).
• Solid understanding of distributed systems and APIs.
• Solid understanding of event-driven / messaging architectures.
• Solid understanding of integration of AI into production systems.
• Experience in financial markets / trading systems (FX ideally).
• Exposure to GenAI / LLM integration in enterprise environments.
• Experience with MLOps or AI platform engineering.
• Familiarity with developer tooling automation and test automation frameworks.

Skills

• Strong hands-on engineering capability
• Ability to balance strategy with execution
• Platform mindset (reuse, standardization, scalability)
• Clear ownership and delivery focus
• Strong cross-team collaboration and influence
• Pragmatic decision-making (avoid over-engineering / unnecessary customization)

Experience Level

• Manager

Education Level

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Salary/Compensations

• $147,500 - $245,900

Benefits

• Annual Incentive Plan (AIP/”bonus plan”)
• Annual Wellness Allowance
• Paid time-off
• Medical, Dental, Vision
• Flex Spending & Health Savings Options
• Prescription Drug plan
• 401(K) Savings Plan and Company match
• Basic life insurance
• Disability benefits
• Emergency backup dependent care
• Adoption assistance
• Commuter assistance
• Healthcare
• Retirement planning
• Paid volunteering days
• Wellbeing initiatives

About the Company

• 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 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.

Equal Opportunity

• 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.