Overview
Lead the Frontier AI Systems & Capabilities workstream to understand and shape global understanding of frontier AI capabilities, their real-world deployment, safeguards, and system design.
Key Responsibilities
- Define and evolve strategic direction for the Frontier AI Systems & Capabilities workstream.
- Lead capability horizon scanning across frontier models and system architectures.
- Develop system foresight analyses to identify emergent behaviours and risks.
- Analyse model-to-system translation and emergent failure modes.
- Develop frameworks for evaluation, assurance, and deployment.
- Lead analysis of embodied and spatially grounded AI systems.
- Convene stakeholders to establish shared technical reference points.
- Oversee workstream delivery, including planning, resourcing, and reporting.
- Serve as the primary point of engagement for external stakeholders.
- Engage C-level executives and senior policymakers.
- Build, manage, and activate the Frontier AI community.
- Design, convene, and facilitate community engagements.
- Cultivate and sustain strategic partnerships.
- Lead and manage team members supporting the workstream.
- Collaborate with partners to recruit and coordinate Fellows and project contributors.
Required Experience
- 7+ years experience working on frontier AI capabilities, system architecture, AI safety, or advanced technology governance with a focus on real-world deployment.
- Demonstrated technical fluency in contemporary AI systems (e.g., foundation models, agentic systems, multi-agent coordination, evaluation methods, deployment infrastructure).
- Proven ability to analyse emergent system-level risk across models, agents, tools, and infrastructure.
- Familiarity with areas such as interoperability, identity, observability, and coordination protocols.
- Experience translating frontier technical research into actionable frameworks for C-level stakeholders, assurance mechanisms, standards, or policy instruments.
- Ability to operate under high uncertainty and develop structured analysis in fast-moving environments.
- Community management and project management experience.
- Strong track record engaging model developers, infrastructure providers, governments, or multilateral institutions, with executive-level communication and coalition-building capability.
Qualifications
• Advanced degree (Master’s) in AI, Systems Engineering, Computer Science, Business, or Technology Governance.
