Core AI Engineer

London Stock Exchange; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

London Stock Exchange is seeking a Core AI Engineer to design, develop and deploy enterprise-grade AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value.

Lead technical implementation across multiple AI initiatives, define solution architecture and engineering patterns for AI products.

Qualifications

• Demonstrated experience moving AI solutions into production.
• Strong software architecture and engineering standards.
• Experience delivering enterprise-scale AI platforms and tooling.

Responsibilities

• Design, develop and deploy enterprise-grade AI products and services.
• Lead technical implementation across multiple AI initiatives.
• Build robust APIs, orchestration services and automation pipelines.
• Drive security, scalability, resilience and observability of AI systems.
• Collaborate with Product Managers, Data Scientists and Engineering teams to deliver AI solutions from concept through production.

Skills

AI engineering

Machine learning

Python

LLMs

RAG

MLOps

CI/CD

Vector databases

Cloud-native development

Software architecture

Tools

Azure

Copilot

API design

Microservices

SRE practices

Job description

• The AI & Automation team is transforming how LSEG operates through the use of Artificial Intelligence, Automation and Intelligent Engineering. We are building enterprise-scale AI capabilities that improve service resilience, automate operational workflows, accelerate engineering productivity and enhance customer outcomes
• As a Core AI Engineer, you will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value
• Design, develop and deploy enterprise-grade AI products and services
• Build agentic AI workflows, retrieval-augmented generation (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. The Lead/IC profile is expected to guide technical outcomes and raise capability through collaboration while remaining deeply hands-on
• 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

This is a hands-on engineering role for someone passionate about building scalable AI systems, solving complex technical challenges and influencing the direction of enterprise AI adoptionDemonstrated experience moving AI solutions from proof-of-concept into productionStrong understanding of software architecture, engineering standards and operational practicesExtensive software engineering experience delivering production-scale solutionsAbility to influence technical direction across teams without formal management responsibilityExperience building AI or machine learning systems in enterprise environmentsCloud-native development (Azure preferred)Retrieval Augmented Generation (RAG) architecturesAI observability, evaluation and governance frameworksAPI development and microservice designCI/CD automation and MLOps practicesPython and modern software engineering practicesData modelling and distributed systems designAgent frameworks and orchestration technologiesVector databases and knowledge retrieval platformsExperience with Large Language Models (LLMs) and Generative AIExperience within Financial Services or highly regulated environmentsKnowledge of Service Reliability Engineering (SRE) principlesExperience developing AI-powered operational toolingExperience building internal AI platforms or developer enablement capabilitiesFamiliarity with Microsoft AI ecosystem, Copilot technologies and Azure AI servicesCollaborative leadership through influenceStrong ownership mindset and delivery focusCommitment to responsible and ethical AI developmentDeep technical curiosity and engineering excellenceAbility to solve ambiguous and highly complex problemsPassion for continuous learning and innovationExcellent stakeholder engagement and communication skills