Corporate Engineering AI (CE AI) Team

The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high‑quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support.

CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‑to‑end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way.

The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‑service contribution.

LSEG AI Assist / Internal MCP Programme of Work

This programme delivers an LSEG‑owned, production‑grade agentic AI platform with MCP as its extensibility layer.

The scope of work includes:

• Building and operating LSEG AI Assist, an in‑house agentic experience capable of reasoning, planning, and tool‑calling.
• Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.
• Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.
• Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.
• Establishing evaluation, quality control, and governance mechanisms so MCP tools and Skills can be promoted through PTB/PTO and operated with confidence at scale.

The programme follows a “build for” model today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time.

Site Reliability Engineers – Responsibilities & Skills

Responsibilities

• Build, operate, and harden the Internal MCP Gateway and related platform services.
• Define and implement observability, monitoring, and audit capabilities for agent tool‑calling and MCP traffic.
• Ensure MCP platform components meet availability, performance, and reliability targets.
• Support secure hosting and runtime environments for MCP servers and related services.
• Partner with ML and Quality Engineers to support testing, evaluation, and safe rollout of platform changes.
• Contribute to service management, incident response, and operational readiness for production AI platforms.
• Help shape the long‑term platform architecture supporting federated MCP scale.

Skills

• Strong Python experience for platform services and operational tooling.
• Experience with observability and monitoring stacks (metrics, tracing, logging, dashboards).
• SQL skills for operational analysis, reporting, and audit queries.
• Hands‑on experience operating services on AWS.
• Knowledge of cloud‑native reliability patterns and service lifecycle management.
• Experience supporting platforms subject to audit, compliance, and regulated delivery processes.

We're proud to have been recognised as a Great Place to Work® in India ‘25.