AI Executive Search Practice

We place Chief AI Officers, VP Machine Learning, ML Engineering Directors, AI research scientists, and applied AI leaders who drive artificial intelligence strategy and deployment. Our AI executive search practice distinguishes between research-focused roles — foundational model development, algorithmic innovation — and applied AI executives building production ML systems and AI product infrastructure.

Roles We Place in AI Leadership

• Chief AI Officer (CAIO)
• VP of Machine Learning and VP of AI
• Director of ML Engineering
• Head of AI Product and AI Infrastructure
• Foundation Model Research Scientists
• Post-Training and Alignment Specialists
• ML Platform and Distributed Training Engineers
• Quantitative AI and ML Quant Researchers

What We Cover in AI Talent Search

Machine learning researchers and engineers. Applied scientists and AI leaders. Foundation model and multimodal talent. Post-training and alignment specialists. Distributed training infrastructure engineers. Responsible AI and evaluation scientists. Quantitative AI and ML quant researchers working at the intersection of machine learning and financial markets.

Who We Work With for AI Executive Search

Frontier AI research laboratories. Technology companies scaling AI products and platforms. Quantitative firms and hedge funds applying ML to systematic trading and alpha generation. High-growth AI startups backed by top-tier venture capital. Enterprise organisations deploying production ML systems at scale.

Our AI Talent Assessment Approach

We evaluate research contributions including published papers, citations, and open-source contributions. We assess technical depth in transformer architectures, reinforcement learning, MLOps, and production ML systems. We verify scale — billion-parameter model experience, large-scale inference systems, and global ML deployment. All engagements are handled confidentially.

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