The TP ICAP Group

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.

Through our people and technology, we connect clients to superior liquidity and data solutions.

The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.

Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist.

Role Overview

This is a newly created opportunity within the Global Broking business for a senior AI Engineer who wants to work directly with front-office users, solve real commercial problems, and help build the firm's AI capability from the ground up.

Joining the AI Solutions Group in its formative stage, you will operate at the intersection of brokers, product management and technology. Rather than working from a central technology function, you will spend the majority of your time directly alongside front-office teams, understanding how they generate revenue, manage risk and serve clients, then translating those challenges into production-grade AI solutions that deliver measurable business value.

This is a hands-on engineering role for someone who enjoys building as much as shaping. While TP ICAP already has established AI governance, delivery frameworks and technology foundations, you will play a contributing role in evolving those capabilities, contributing patterns, frameworks and reusable components that will become part of the firm's long-term AI operating model.

The team is intentionally small and entrepreneurial. The successful candidate will help define how embedded AI engineering operates within Global Broking, working across multiple asset classes and regions. As the function grows, there will be opportunities to influence technical direction, mentor additional engineers and help establish a scalable delivery model that supports front-office teams globally.

Success in this role is measured by outcomes rather than experiments. We are looking for an engineer who can identify opportunities, engage directly with users, rapidly turn ideas into production solutions and demonstrate clear adoption and business impact.

Responsibilities

• Embed on assigned pilot desks in London or New York — sit with brokers, understand their workflow, and identify areas that are slow, repetitive or error-prone, as well as opportunities where AI changes what is possible.
• Architect, design and build production-grade AI solutions — including Generative AI and agentic capabilities — that remove friction from the broking workflow and unlock new ways of working across idea generation, research, pricing, execution, booking and post-trade.
• Deliver every solution through the firm's agreed safe route to production — covering security, compliance, model risk, change management, audit and operational ownership in production — with zero ad-hoc exceptions.
• Contribute to and reuse from the shared AI capability library — check existing capabilities before building new ones, and place everything you build into the library so other desks and regions can adopt it without rebuilding.
• Co-develop the team's shared platforms, frameworks and components with peers in the AI Solutions Group and the wider Technology organisation, customising for domain-specific desk requirements while preserving reuse.
• Operate on a Kanban delivery model — work flows continuously, prioritised by Product Management against firm-wide value, with no individual desk independently commissioning its own tools.
• Maintain strict data stewardship, model risk and compliance standards as AI agent and decision-support solutions scale across the broking lifecycle.
• Provide ongoing support for deployed AI solutions, ensuring smooth operation and rapid resolution of issues affecting the desk.
• Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the firm's enterprise technical standards.
• Present project updates and key developments to broking leadership, Technology and governance stakeholders — demonstrating value, adoption and progression through the team's tiered scope (productivity, advisory, decision-making).