Associate Forward Deployed Engineer (AI)

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 one of several newly created opportunities across our business functions, that will sit within our Group Technology function as an Associate Forward Deployed Engineer (AI) and be seconded out to various functions across the business including but not limited to Group Internal Audit, Operations and Human Resources. As the Associate Forward Deployed AI Engineer is a high‑autonomy, high‑impact role at the intersection of delivery and core platform development. You will embed directly with TP ICAP's business divisions to lead end‑to‑end deployments of AI solutions, owning discovery, technical scoping, system design, build, and production rollout. You will partner directly with domain teams to identify high‑value AI opportunities, architect solutions tailored to real business problems and drive adoption from first prototype to stable production. Equally, you will serve as a critical feedback channel to TP ICAP's central AI platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI.

Responsibilities

• Own the full lifecycle of AI deployments within your assigned business division – initial discovery and technical scoping through system design, build, and production rollout. Ensure solutions are technically sound, aligned to business outcomes, and delivered with the urgency and quality expected of a forward‑deployed team.
• Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well‑defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade‑offs, and outcomes clearly to leadership.
• Architect, build, and deploy cutting‑edge AI applications powered by large language models and generative AI. Write and review production‑grade code across front‑end and back‑end systems, ensuring scalability, reliability, and strict data stewardship.
• Co‑develop and enhance TP ICAP's shared AI service platform in collaboration with the central AI & Innovation Lab. Feed field insights back to inform product roadmaps, identify where models succeed, and surface areas for improvement.
• Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact and evaluation‑driven feedback. Present outcomes and strategic recommendations to leadership, demonstrating tangible business value.

Experience / Competences

Essential

• Expertise in AI technologies, including Generative AI and Machine Learning.
• Hands‑on experience working with Large Language Models (LLMs).
• Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production‑grade code across the full stack.
• A proven track record architecting and designing scalable solutions that move from prototype to production.
• Experience managing technical priorities within an Agile environment, resolving dependencies and ensuring alignment across stakeholders and platform teams.
• Strong communication skills with the ability to present complex technical concepts to non‑technical stakeholders and senior leadership, translating AI capabilities into business language.

Desired

• AWS experience including AI services such as Bedrock and the Serverless ecosystem.
• Proficiency in front‑end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI‑driven back‑end services.
• Expertise in back‑end development, with experience in building and deploying scalable APIs and microservices to support AI solutions.
• Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full‑stack applications, ensuring data protection and privacy across AI solutions.

Band & level: Professional, 4