Core AI Engineer
London Stock Exchange Group3 months ago
London, United KingdomStaff+
Responsibilities
- Design, develop, and deploy enterprise-grade AI products and services.
- Build agentic AI workflows, RAG solutions, LLM integrations, MCP service integrations, vector database solutions, and intelligent automation capabilities.
- Develop reusable AI frameworks, accelerators, engineering standards, APIs, orchestration services, and automation pipelines.
- Define solution architecture and engineering patterns for AI products and drive security, scalability, resilience, and observability requirements.
- Partner with Product Managers, Data Scientists, Engineering, Operations, and Product teams to deliver AI solutions from concept through production.
- Develop AI platforms, monitoring, evaluation, and governance processes that enable broader engineering adoption.
- Improve the reliability and performance of deployed AI capabilities.
- Provide technical direction, mentor engineers, evaluate emerging AI technologies, and influence architecture and engineering practices.
- Translate business challenges into scalable AI solutions, define KPIs, and deliver productivity, resilience, and customer-value improvements.
Requirements
- 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.
- Proficiency in Python and modern software engineering practices.
- Experience with LLMs, Generative AI, agent frameworks, orchestration technologies, RAG architectures, API development, microservice design, vector databases, knowledge retrieval platforms, data modelling, distributed systems, AI observability, evaluation, and governance frameworks.
- Experience with cloud-native development, with Azure preferred, CI/CD automation, and MLOps practices.
- Ability to influence technical direction across teams without formal management responsibility.
- Experience in financial services or highly regulated environments is desirable.
- Knowledge of SRE principles, AI-powered operational tooling, internal AI platforms, developer enablement capabilities, Microsoft AI ecosystem, Copilot technologies, and Azure AI services is desirable.
- Strong technical curiosity, ownership, delivery focus, problem-solving ability, stakeholder engagement, communication, collaborative leadership, and commitment to responsible AI development.
Benefits
- Healthcare benefits, retirement planning, paid volunteering days, and wellbeing initiatives.
- Collaborative and creative culture with opportunities for innovation, continuous learning, and professional growth.
- Equal-opportunity workplace with reasonable accommodation for religious practices, mental health needs, and physical disabilities.
Categories
About London Stock Exchange Group
London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.