ai engineer in financial markets infrastructure

Enfint; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

LSEG, a global financial markets infrastructure and data provider based in London, seeks an experienced senior AI platform engineer to design, develop and deploy enterprise-grade AI solutions. You will lead cross-functional teams to translate business challenges into scalable AI products, focusing on production readiness, governance and reliability.

The role emphasizes building reusable AI frameworks, APIs and automation pipelines, while collaborating with Product Managers, Data Scientists and

Qualifications

• Extensive software engineering experience delivering production-scale solutions.
• Experience building AI or machine learning systems in enterprise environments.
• Demonstrated experience moving AI solutions from proof of concept into production.
• Strong understanding of software architecture, engineering standards and operational practices.
• Ability to influence technical direction across teams without formal management responsibility.
• Strong ownership mindset and delivery focus.
• Ability to solve ambiguous and highly complex problems.
• Excellent stakeholder engagement and communication skills.
• Collaborative leadership through influence.
• Commitment to responsible and ethical AI development.
• Nice to have: familiarity with financial services or regulated environments; knowledge of SRE principles; experience building internal AI platforms or developer enablement capabilities; familiarity with Microsoft AI ecosystem, Copilot technologies and Azure AI services.

Responsibilities

• Design, develop and deploy enterprise-grade AI products and services.
• Build agentic AI workflows, retrieval-augmented generation solutions and intelligent automation capabilities.
• Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.
• Develop reusable AI frameworks, accelerators and engineering standards.
• Lead technical implementation across multiple AI initiatives.
• Define solution architecture and engineering patterns for AI products.
• Build robust APIs, orchestration services and automation pipelines.
• Drive security, scalability, resilience and observability requirements.
• Partner with Product Managers, Data Scientists and Engineering teams to deliver AI solutions from concept through production.
• Support the development of AI platforms that enable wider engineering adoption.
• Establish monitoring, evaluation and governance processes for AI systems.
• Improve the reliability and performance of deployed AI capabilities.
• Act as a technical leader across AI initiatives.
• Mentor engineers and contribute to the development of AI engineering capability.
• Evaluate emerging AI technologies and identify opportunities to accelerate delivery.
• Provide technical direction on architecture, tooling and engineering practices.
• Translate business challenges into scalable AI solutions.
• Define measurable KPIs and success measures.
• Ensure solutions drive productivity improvements, operational resilience and customer value.
• Partner with stakeholders across Engineering, Operations and Product organisations.

Skills

Software engineering

AI/ML systems

Production deployment

Software architecture

Influence direction

Ownership mindset

Problem solving

Stakeholder engagement

Leadership by influence

Ethical AI development

Continuous learning

Job description

Описание

LSEG is a global financial markets infrastructure and data provider. It enables businesses and economies to fund innovation, manage risk and create jobs through trusted financial market infrastructure services and an open-access model.

Задачи

• Design, develop and deploy enterprise-grade AI products and services;
• Build agentic AI workflows, retrieval-augmented generation solutions and intelligent automation capabilities;
• Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms;
• Develop reusable AI frameworks, accelerators and engineering standards;
• Lead technical implementation across multiple AI initiatives;
• Define solution architecture and engineering patterns for AI products;
• Build robust APIs, orchestration services and automation pipelines;
• Drive security, scalability, resilience and observability requirements;
• Partner with Product Managers, Data Scientists and Engineering teams to deliver AI solutions from concept through production;
• Support the development of AI platforms that enable wider engineering adoption;
• Establish monitoring, evaluation and governance processes for AI systems;
• Improve the reliability and performance of deployed AI capabilities;
• Act as a technical leader across AI initiatives;
• Mentor engineers and contribute to the development of AI engineering capability;
• Evaluate emerging AI technologies and identify opportunities to accelerate delivery;
• Provide technical direction on architecture, tooling and engineering practices;
• Translate business challenges into scalable AI solutions;
• Define measurable KPIs and success measures;
• Ensure solutions drive productivity improvements, operational resilience and customer value;
• Partner with stakeholders across Engineering, Operations and Product organisations.

Требования

• Extensive software engineering experience delivering production-scale solutions;
• Experience building AI or machine learning systems in enterprise environments;
• Demonstrated experience moving AI solutions from proof of concept into production;
• Strong understanding of software architecture, engineering standards and operational practices;
• Ability to influence technical direction across teams without formal management responsibility;
• Strong ownership mindset and delivery focus;
• Ability to solve ambiguous and highly complex problems;
• Excellent stakeholder engagement and communication skills;
• Collaborative leadership through influence;
• Commitment to responsible and ethical AI development;
• Passion for continuous learning and innovation;
• Nice to have: Experience within Financial Services or highly regulated environments, knowledge of Service Reliability Engineering principles, experience developing AI-powered operational tooling, experience building internal AI platforms or developer enablement capabilities, familiarity with Microsoft AI ecosystem, Copilot technologies and Azure AI services.

Условия

London, England, United Kingdom; Healthcare, retirement planning, paid volunteering days and wellbeing initiatives.