AI Platform Engineer in London

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in over 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

To capitalize on our success and continued growth plans, we are seeking an AI Platform Engineer to help build and scale Tradeweb’s enterprise AI capabilities. You will build and run the shared AI platform layer on AWS Bedrock that engineering and business teams use to deliver AI safely and at scale: model gateways, Model Context Protocol (MCP) servers, evaluation and observability tooling, cost controls and secure configuration templates for AI developer tooling.

This role will work with subject matter experts across engineering, infrastructure, cloud, data, information security, risk, compliance and the business, and will directly shape how AI is adopted across the firm. The role works closely with our Security Architecture and Cyber Security teams, so a working understanding of application, platform and cyber security is important.

Job Responsibilities:

• Build and run the AI platform: Develop and operate the shared AI platform on AWS Bedrock and AgentCore, supporting secure, reliable deployment of AI applications and agents.
• Manage model access and cost: Maintain a shared model gateway with access controls, approved model configurations, usage monitoring and cost controls.
• Embed security and agent identity: Implement security, privacy and responsible AI controls, including agent identities, delegated authorization and auditable access, in line with Security Architecture standards.
• Connect agents to tools and data: Build secure MCP integrations and RAG pipelines connecting agents to internal data and APIs, and support approved agent interoperability and tool registries.
• Automate platform delivery: Use infrastructure as code and CI/CD to deploy, configure and maintain AI platform services consistently.
• Evaluate and monitor AI services: Establish evaluation and observability to track output quality, agent behaviour, reliability, performance and cost.
• Enable engineering teams: Provide reusable reference architectures, templates and secure AI coding tool configurations that help teams build and adopt AI solutions.
• Deliver solutions with internal teams: Work hands-on with Risk, Cyber Security and Internal Audit to turn workflows into working AI solutions, partnering with Compliance and Legal on relevant requirements.

Qualifications:

• AI platform engineering: Hands-on experience building and operating production LLM / generative AI platforms.
• Software engineering: Strong software engineering background with proficiency in Python and experience working with LLMs and generative AI.
• Agent and data integration: Experience connecting AI applications and agents to tools, APIs and internal data through MCP or comparable integrations.
• Platform operation: Experience managing model access and cost, and evaluating and monitoring AI services for quality, reliability and performance.
• AI security: Practical understanding of prompt injection, data leakage and excessive agency, with experience applying access controls, secrets management and auditing.
• Cloud delivery: Experience deploying AI services using cloud infrastructure, identity and access management, infrastructure as code and CI/CD.
• Delivery and enablement: Ability to turn internal workflows into working AI solutions, communicate clearly and create reusable components for wider adoption.
• AI coding tools: Fluent in AI-assisted development, with hands-on experience configuring and standardizing tools for safe team use.

We offer a comprehensive range of benefits to support our employees at every stage of life and career. Our programs include enhanced parental leave, family-building and postpartum support through Maven, subsidized gym membership and a wide range of learning and development opportunities.