Lead Ai Engineer, Ai Productivity

London Stock Exchange Group

Bucharest, Romania
On-site
Enterprise ai platforms (chatgpt, claude, microsoft copilot)
Build and scale ai productivity platforms
Hands-on engineering and integration
The London Stock Exchange Group is seeking a Lead AI Engineer to develop and implement scalable AI productivity platforms within their Bucharest office. The role focuses on hands-on engineering for enterprise AI systems, requiring expertise in integrating various AI technologies

Job Summary

  • This role will focus on hands-on engineering, integration, and operationalisation of enterprise AI platforms — ChatGPT, Claude, Microsoft Copilot and future GenAI capabilities — ensuring secure, scalable, compliant, and high-impact adoption across LSEG.
  • The successful candidate will design and implement integrations, develop automation workflows, and embed AI capabilities directly into enterprise systems and business processes.
  • This role will play a critical part in driving measurable productivity improvements by embedding AI into engineering, operations, and corporate workflows across Markets, Data & Analytics, and Corporate functions.

Matching Summary

Match Score: 85

The London Stock Exchange Group is seeking a Lead AI Engineer to develop and implement scalable AI productivity platforms within their Bucharest office. The role focuses on hands-on engineering for enterprise AI systems, requiring expertise in integrating various AI technologies.

Skills & Requirements

Must-have

  • Enterprise AI platforms (ChatGPT, Claude, Microsoft Copilot)
  • Build and scale AI Productivity Platforms
  • Hands-on engineering and integration
  • Develop automation workflows
  • Embed AI capabilities into enterprise systems
  • REST and event-driven architectures
  • Secure enterprise development practices
  • RAG pipelines and vector storage

Nice-to-have

  • Drive measurable productivity improvements
  • Collaborate with AI architects and platform leaders
  • Partner with Cyber Security and Risk teams
  • Contribute to experimentation and rapid prototyping
  • Support adoption through reusable components

Key Requirements

  • Proven experience as a Senior Software Engineer or AI Engineer
  • Strong programming skills (Python, TypeScript or similar)
  • Experience with enterprise AI/LLM platforms
  • Solid understanding of LLM concepts
  • Experience building RAG pipelines
  • Knowledge of MCP and/or agent-based architectures
  • Experience with REST APIs, webhooks, and microservices
  • Understanding of IAM (OAuth2, OIDC, RBAC)
  • Experience implementing enterprise security controls and DLP
  • Familiarity with AI safety and guardrails
  • Experience with cloud-native development and containerisation
  • Strong debugging and system design skills
  • Ability to collaborate with senior stakeholders
  • Experience in regulated environments with ITSM processes

Work Rights

Not specified

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