Head of AI Engineering

Tardis Tech
London
3 weeks ago
Applications closed

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Head of AI Engineering – Proprietary Trading

Location:Chicago, New York, London

Company Overview

Our proprietary trading client is seeking a Head of AI Engineering to lead the development and deployment of AI-driven solutions that optimize trading efficiency and unlock new strategic opportunities. This role is ideal for a hands-on leader with deep expertise in AI/ML infrastructure, real-time data processing, and scalable model deployment in high-performance computing environments.

Role Overview

As the Head of AI Engineering, you will drive the AI strategy, architecture, and execution, leading a team of engineers to build state-of-the-art AI infrastructure and applications. You will collaborate closely with technologists, traders, and quantitative researchers to integrate AI into trading systems, ensuring scalable, low-latency, and production-grade deployments.

Key Responsibilities

  • Lead and scale a high-performance AI engineering team, setting technical direction and best practices.
  • Develop and optimize AI/ML models and infrastructure for trading and risk management.
  • Drive end-to-end AI application development, from concept to deployment and continuous monitoring.
  • Architect and enhance MLOps pipelines, feature stores, and model training infrastructure.
  • Ensure low-latency, high-reliability AI solutions by optimizing GPU/CPU performance.
  • Evaluate and integrate cutting-edge AI frameworks and tools, including TensorFlow, PyTorch, TensorRT, and ONNX.
  • Collaborate with quantitative researchers and traders to implement AI-driven strategies.

Qualifications

  • Five or more years leading AI/ML engineering teams in high-performance computing or trading environments.
  • Seven or more years of hands-on AI/ML development, with expertise in Python, C++, or Java.
  • Deep experience in MLOps, AIOps, and AI model deployment at scale.
  • Proven track record in designing AI/ML architectures for real-time, mission-critical systems.
  • Strong expertise in large language models, retrieval-augmented generation techniques, and fine-tuning AI models.
  • Familiarity with compute infrastructure required for high-frequency AI/ML applications.
  • Advanced degree in computer science, AI, machine learning, or a related field preferred.
  • Exceptional leadership, problem-solving, and communication skills.

This is a senior leadership role for an AI engineering expert passionate about driving innovation in proprietary trading.

Only suitable applicants will be contacted.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Finance, and Information Technology

Industries

Financial Services, Technology, Information and Media, and Engineering Services

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