AI Engineer Global Broking

Group Overview

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 in our Global Broking division for an AI Engineer.

TP ICAP is a leading global provider of market infrastructure and data solutions, specializing in financial services. With a strong commitment to innovation, we help clients navigate the complexities of global markets by offering advanced technology solutions that enhance decision-making and drive growth. As we continue to expand our technological capabilities, we have established a dedicated AI & Innovation Lab to develop and deliver transformative AI-based solutions across the organization. Join us in shaping our future through cutting-edge artificial intelligence technology.

Design, develop and maintain advanced AI services, working as a dedicated spoke of the central AI & Innovation Lab. Collaborate with stakeholders, the central AI team, and business partners to deliver impactful AI-driven solutions that optimize internal processes. While reporting administratively to the Regional COO, you will maintain a strong dotted-line relationship with the AI & Innovation Lab, actively participating in lab initiatives, cross-spoke collaboration, and the continuous evolution of TP ICAP’s AI capabilities. A focus on technical excellence to ensure AI is delivered in a robust, scalable manner and that technical best practices are maintained.

Role Responsibilities

• Architect and design innovative AI solutions tailored to business challenges
• Build and deploy cutting-edge AI applications for use cases, ensuring that solutions are high-performing, scalable, and optimized for real-time operations
• Translate stakeholder requirements into technical solutions, ensuring alignment with both business objectives and the technical standards established by the central AI & Innovation Lab
• Scale our AI agent solutions while maintaining strict data stewardship and compliance standards
• Co-develop and enhance the shared AI service platform and frameworks with the AI & Innovation Lab, contributing insights and requirements while customizing solutions for domain-specific requirements
• Provide ongoing support and maintenance for deployed AI solutions, ensuring smooth operation and quick resolution of any issues affecting processes
• Present AI project updates and key developments to relevant leadership and business stakeholders, demonstrating value and ensuring alignment with AI strategy

Experience / Competences

Essential

• Expertise in AI technologies, including Generative AI and Machine Learning
• Hands-on experience working with Large Language Models (LLMs)
• Experience with Python in AI/ML frameworks and libraries
• Track record in the architecture and design of domain-specific solutions with expertise in building scalable and robust services in production environments
• Experience in managing tech priorities within an Agile backlog, resolving dependencies, and ensuring alignment with both business objectives and central AI team standards
• Evidence of presenting complex technical concepts to internal professionals and business stakeholders with varying technical backgrounds

Desired

• AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks
• 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 …