World Economic Forum

4 months ago

Lead, Frontier AI Systems, Centre for AI Excellence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead the Frontier AI Systems & Capabilities workstream within the Centre for AI Excellence, defining strategic direction, conducting horizon scanning of frontier models and system architectures, and translating AI advances into practical frameworks for governance, risk mitigation, and deployment. Manage external engagement with labs, partners, and policymakers, and oversee delivery of high-quality outputs on tight timelines from a San Francisco-based team.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Define and evolve the strategic direction for the Frontier AI Systems & Capabilities workstream, setting priorities in response to rapid technical developments and ecosystem needs.
•Lead capability horizon scanning across frontier models and system architectures and analyse how emerging capabilities translate into system behaviours, deployment patterns, and operational constraints.
•Develop system foresight analyses that identify emergent behaviours, scaling dynamics, institutional gaps, and risk inflection points before large-scale deployment.
•Oversee workstream delivery, including planning, resourcing, stakeholder engagement, and reporting, ensuring high-quality outputs on tight timelines.
•Convene frontier labs, infrastructure providers, standards bodies, safety institutes, and policymakers to establish shared technical reference points that shape research, system design, and safeguards.

Pay and Benefits

Salary: USD 130,000 - 155,000 annually

Key Requirements

•Advanced degree (Master’s) in AI, Systems Engineering, Computer Science, Business, or Technology Governance
•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
•Experience translating frontier technical research into actionable frameworks for C-level stakeholders, assurance mechanisms, standards, or policy instruments

Experience:7+ yearsArtificial intelligenceGovernanceMultistakeholder engagement

Education:Master's

Skills:LeadershipCommunicationStakeholder managementProject managementStrategic thinking

Languages:English

Tech Stack:Foundation modelsAgent-based systemsMulti-agent coordinationDeployment infrastructureObservabilityIdentityInteroperability

Company Brief

World Economic Forum

An independent non-profit organization that engages political, business, cultural and other leaders to shape global, regional and industry agendas, best known for its annual meeting in Davos and research on global economic issues.

Industry: Nonprofit

Company Size: Enterprise (1,001+ employees)

Growth: Nonprofit & NGO

Headquarters: Geneva, Switzerland

Founded: 1971

Website LinkedIn

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World Economic Forum

4 months ago

Lead, Frontier AI Systems, Centre for AI Excellence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Define and evolve the strategic direction for the Frontier AI Systems & Capabilities workstream, setting priorities in response to rapid technical developments and ecosystem needs.
•Lead capability horizon scanning across frontier models and system architectures and analyse how emerging capabilities translate into system behaviours, deployment patterns, and operational constraints.
•Develop system foresight analyses that identify emergent behaviours, scaling dynamics, institutional gaps, and risk inflection points before large-scale deployment.
•Oversee workstream delivery, including planning, resourcing, stakeholder engagement, and reporting, ensuring high-quality outputs on tight timelines.
•Convene frontier labs, infrastructure providers, standards bodies, safety institutes, and policymakers to establish shared technical reference points that shape research, system design, and safeguards.

Pay and Benefits

Salary: USD 130,000 - 155,000 annually

Key Requirements

•Advanced degree (Master’s) in AI, Systems Engineering, Computer Science, Business, or Technology Governance
•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
•Experience translating frontier technical research into actionable frameworks for C-level stakeholders, assurance mechanisms, standards, or policy instruments

Experience:7+ yearsArtificial intelligenceGovernanceMultistakeholder engagement

Education:Master's

Skills:LeadershipCommunicationStakeholder managementProject managementStrategic thinking

Languages:English

Tech Stack:Foundation modelsAgent-based systemsMulti-agent coordinationDeployment infrastructureObservabilityIdentityInteroperability

Company Brief

World Economic Forum

Industry: Nonprofit

Company Size: Enterprise (1,001+ employees)

Growth: Nonprofit & NGO

Headquarters: Geneva, Switzerland

Founded: 1971

Website LinkedIn