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Technical Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    DevOps, AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

## Technical Architect Apply locations:
G
-London-5 Canada Square:
IND-Hyderabad-Capita Landtime type:
Full time posted on:
Posted Todayjob requisition :
R0120980

About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.
** Our People:
** People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.  We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.

Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

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…
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