Advisory Engineer, AI and Product Security

* United Kingdom
- Hampshire
- Farnborough

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This new position joins Lenovo's AI Governance and Product Security organization within the Chief AI Office in our mission of enabling security and trust in Lenovo's use of AI technology in product development through Responsible AI. The AI Governance and Product Security Office works across all Lenovo's business and product areas to ensure AI tools are used in accordance with Company standards and international regulations and products are developed and implemented with industry best practices for security.

In partnership with AI and security leaders across Lenovo, the Advisory Engineer, AI Security will lead the technical security assurance and enablement of secure agentic AI across Lenovo. The role will develop and apply practical security and responsible AI control patterns for AI agents, assess high-risk agentic use cases and drive the delivery of controls that enable safe adoption across customer-facing and internal solutions.

This person combines deep AI security expertise with a strong delivery mindset. They will translate agentic AI risks into implementable technical controls, work directly with engineering teams through design, testing and remediation, and help establish scalable assurance practices for agentic AI.

Key Responsibilities:

• Drive delivery of the Agentic AI Security and Assurance roadmap, including priorities, technical deliverables, adoption measures and remediation tracking.
• Define and maintain security standards, reference architectures and control patterns for AI agents, including identity, permissions, tool use, data access, memory, human oversight, logging and containment.
• Lead security risk assessments, threat modelling and assurance reviews for high-risk agentic AI use cases, platforms and material design changes.
• Develop and apply test scenarios for agentic AI threats.
• Define requirements for agentic AI discovery, inventory, runtime visibility, monitoring and control tooling; partner with operations teams on implementation and ongoing operation.
• Support investigation of material agentic-AI security events and incorporate lessons learned into standards, controls and assurance practices.
• Occasional domestic and international travel (approx. 5-20%) for meetings and collaboration.

Qualifications:

• Demonstrated experience delivering security controls from design through implementation, validation and operational handover across cross-functional engineering teams.
• Experience with threat modelling, security assessment and remediation for applications, cloud services, APIs or AI-enabled systems.
• Strong…