Job Description

About the Company

A global AI company advancing foundational models, reinforcement learning, and multimodal architectures at enterprise scale. Its research emphasizes large language models, agentic systems, and distributed ML infrastructure, powering solutions across healthcare, finance, and mission-critical sectors. The company’s mission is to deliver safe, explainable, high-performance AI into production environments, setting new global benchmarks for adoption and trust.

The Opportunity: Chief AI Officer

The company is seeking a Chief AI Officer (CAIO) to lead its scientific direction and drive innovation at the forefront of large-scale AI. The CAIO will oversee model research, distributed infrastructure, and applied machine learning deployment, while also shaping global standards for AI safety and governance. This role provides the authority to build a top-tier research organization and establish the path for enterprise adoption of intelligent systems.

Key Responsibilities

• Foundation Model Research : Advance transformer-based architectures, LLM pre-training and fine-tuning, multimodal AI, and agent-driven frameworks.
• Reinforcement Learning : Scale RLHF and optimization strategies to improve robustness, alignment, and system reliability.
• Infrastructure Leadership : Architect distributed training pipelines and optimize large-scale compute environments using GPUs, TPUs, and emerging accelerators.
• AI Safety & Compliance : Develop frameworks for interpretability, adversarial robustness, bias detection, and alignment with global regulation.
• Scientific Leadership : Publish in leading AI conferences, represent the company in international forums, and establish it as a thought leader in global AI.

Candidate Profile

• PhD in ML, CS, or applied mathematics with a strong publication record in NeurIPS, ICLR, ICML, or equivalent.
• 12+ years of AI research and leadership experience, with success in scaling foundation models and multimodal systems into production.
• Deep expertise in transformer architectures, RLHF, distributed optimization, large-scale data pipelines, and interpretability research.
• Recognized leader in AI with international influence across research, enterprise adoption, and regulatory ecosystems.
• Proven ability to build and lead high-impact research and engineering teams.

Compensation & Benefits

• Executive compensation package with performance-based incentives tied to scientific and commercial milestones.
• Significant equity participation reflecting long-term value creation.
• Comprehensive health, vision, dental, and executive wellness programs.
• Platform to define the global future of intelligent systems and shape standards for safe, enterprise-scale AI.

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