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.
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