Core AI Engineer

As a Core AI Engineer at LSEG, you design, build and deploy enterprise-grade AI solutions that scale across the organization. You will blend software engineering, ML, and AI platform know-how to transform concepts into production-ready products with measurable business impact. You lead technical implementation, shape architectures, and drive AI adoption across teams. This role offers hands-on leadership in a fast-evolving AI and automation program that improves resilience and customer outcomes. You will work closely with Product, Data Science, and Engineering to deliver scalable AI platforms and frameworks.

• Healthcare
• Retirement planning
• Paid volunteering days
• Wellbeing initiatives

• Design, develop and deploy enterprise-grade AI products and services
• Build agentic AI workflows, RAG 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 non-functional requirements including security, scalability, resilience and observability
• 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 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 organizations

• Extensive software engineering experience delivering production-scale solutions
• Experience building AI or machine learning systems in enterprise environments
• 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
• Python and modern software engineering practices
• Experience with Large Language Models (LLMs) and Generative AI
• Agent frameworks and orchestration technologies
• Retrieval Augmented Generation (RAG) architectures
• API development and microservice design
• Cloud-native development (Azure preferred)
• CI/CD automation and MLOps practices
• Vector databases and knowledge retrieval platforms
• Data modelling and distributed systems design
• AI observability, evaluation and governance frameworks

• Excellent stakeholder engagement and communication skills
• Collaborative leadership through influence
• Strong ownership mindset and delivery focus
• Python
• LLMs
• Generative AI