This person is a strategic thinker and strong collaborator who combines leadership and delivery capability with deep technical expertise in AI security. They must be delivery-focused: able to translate AI security strategy, risk findings and technical standards into prioritised work, implementable control requirements, measurable outcomes and sustained adoption across engineering teams.

Hands-on experience designing security architectures and integrating AI systems with enterprise security tools across cloud environments, APIs and data pipelines is essential.

A passion for AI, technology and engineering excellence is critical, with a strong belief that security is built through people, process and scalable technology.

Key Responsibilities

• Drive delivery of the AI Security Architecture and Assurance roadmap, defining priorities, milestones, technical deliverables and success measures; track agreed remediation actions through to closure.
• Define and maintain secure-by-design technical standards, reference architectures, control patterns and assessment methodologies for AI models, LLM and agentic AI systems and AI development platforms.
• Lead security architecture reviews, threat modelling and technical assurance for high-risk AI systems, products and material changes.
• Establish and improve model-assurance requirements for third-party and open-weight models, including provenance, supply-chain risk, deployment configuration, vulnerabilities, updates and compensating controls.
• Define security requirements and technical evaluation criteria for AI security tooling; partner with operational teams on implementation, integration and lifecycle management.
• Support material AI security incidents and convert lessons learned into improved controls, standards and engineering guidance.
• Occasional domestic and international travel (approx. 5%) for meetings and collaboration.

Qualifications

• Demonstrated track record of delivering complex security initiatives from assessment and design through implementation, validation and operational handover, with measurable adoption and risk-reduction outcomes.
• Experience leading security architecture reviews, threat modelling and remediation through the software or product development lifecycle.
• Strong understanding of AI security threats and mitigations.
• Experience designing or assessing security controls across cloud environments, APIs, CI/CD pipelines, identity/access management and data flows.
• Ability to convert security findings and standards into prioritised technical requirements, clear delivery plans and implementable remediation guidance for engineering teams.
• Ability to participate in incident response and product security operations as required.
• Relevant security certifications are advantageous.

Basic Requirements

• Bachelor's degree in computer science, artificial intelligence, data science, software engineering, mathematics, or a related field
• 8+ years in product security, application security, cloud security, security engineering or a closely related discipline.

What Lenovo Can Offer You

At Lenovo, we invest in our people and provide a benefits package designed to support your wellbeing, development, and work-life balance, including:

• Holiday purchase
• Private medical
• Income protection
• Attractive pension scheme
• Positive work life balance
• Learning and development
• Life insurance
• Lenovo and Motorola products discounts
• Lifestyle discounts
• Cycle to work

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.