Technical Director of AI Safety

Overview

In this senior leadership role, you will set the technical direction for AI safety within Faculty’s Foundation Labs, building a world-class R&D team and an ambitious safety programme. You’ll lead safety research, translate findings into market-ready solutions for frontier labs and security institutes, and engage with governments and global bodies to shape the AI safety discourse. The position offers global scale as Faculty expands under new ownership, with high-impact publications and significant strategic influence. You will drive responsible, cutting-edge safety work that aligns with Industry-leading frontier model testing.

Pay / Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working

Responsibilities

• Own the technical strategy for AI safety and determine research directions
• Build and mentor a high-performing R&D team and manage budgets
• Drive academic impact through complex ML projects and publications
• Shape market-leading safety offerings for frontier labs and security institutes
• Oversee rigorous technical delivery and high-quality outputs across evaluations and red-teaming
• Represent Faculty as a primary technical voice at global events
• Collaborate with business units to align research with growth and client needs
• Lead external collaborations with frontier labs and government bodies

Key requirements

• Proven track record in designing and leading technical teams
• Deep expertise in AI safety research (alignment, interpretability, robustness) for LLMs or safety-critical systems
• Strong scientific background with high-impact ML publications
• Understanding of transformer architectures
• Strategic ability to set research priorities aligned with long-term goals
• Strong communication skills to influence C-suite and research communities
• Commercial acumen and stakeholder management skills

• strategic vision
• clear and compelling communicator
• stakeholder management
• AI safety research (alignment, interpretability, robustness)
• Large language models (LLMs) safety
• Transformer architectures

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