Staff Agentic AI Security Engineer

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Please note that the team has moved to a new location. The office is now at 121 Menachem Begin Road, Tel Aviv, 61st floor, in the POINT office complex. As per our office policy, you will be required to visit the site at least three times a week.

Lenovo Digital Trust Lab is hiring a Staff Agentic AI Security Engineer to set the technical direction for our AI-powered security agents and lead their development across the team. As one of our most senior engineers, you will own the hardest, highest-leverage agent systems end-to-end, define the architecture and standards the rest of the team builds on, and act as a force multiplier — working directly with frontier models to solve security problems at a scale and level of autonomy that has not been done before.

Job Responsibilities

Set the technical vision and architecture for the agentic security platform — make foundational design decisions (planning, orchestration, tool use, memory, guardrails).

Own the most complex, highest-impact agents end-to-end — from problem framing and prototyping through evaluation, deployment, monitoring, and continuous improvement in production at scale.

Define the evaluation discipline: ground-truth datasets, offline and online evals, regression suites, replay tooling, and observability for non-deterministic agent behavior.

Work directly with frontier models (Claude, GPT, Gemini) — benchmark them on security tasks and architect around their strengths and failure modes.

Build shared patterns, frameworks, and infrastructure (prompting, tool use, retrieval, guardrails, cost controls) to reduce the cost of shipping the next agent.

Partner with security and platform leadership to identify high-leverage opportunities and translate ambiguous problems into robust agent designs.

Mentor and level up engineers through design reviews, pairing, and by setting standards for agent quality, safety, and reliability.

Stay ahead of the field — track research, model releases, and emerging techniques, and convert relevant insights into a concrete roadmap.

Requirements

BSc in Computer Science or equivalent practical experience, with a track record of senior/staff-level technical ownership; advanced degree (M.Sc. / Ph.D.) is a plus.

5+ years of software development experience building and operating production systems, including demonstrated technical leadership across teams or large projects.

Deep security engineering foundations: vulnerability research and exploitation, threat modeling, and security best practices across modern on-prem, cloud, and SaaS environments.

Strong understanding of penetration testing methodology (black-box and white-box), offensive tradecraft, and mapping technical findings to real-world risk and remediation.

Expert-level experience designing and shipping autonomous AI agents (planning, tool use, multi-step reasoning, error recovery) in production.

Experience architecting multi-agent systems, translating expert workflows into intelligent systems, and working with frontier reasoning models integrated with security tooling.

Hands-on experience with agent orchestration frameworks (LangChain, CrewAI, or custom systems), prompting, retrieval (RAG), grounding techniques, and AI-powered coding workflows (e.g., Claude, Cursor).

Deep familiarity with agentic ecosystems (MCP, tooling, memory systems, skills) and harness engineering, with strong software fundamentals in Python, distributed systems, APIs, and data pipelines.

What We Offer

Health Disability Insurance

Pension/ Retirement Plan

Meal Vouchers

Employee Referral Bonus

Children of Lenovo Employees Scholarship Program

Lenovo and Motorola Product Discounts

Employee Assistance Program, e.g., for health, legal financial consultancy

Internal E-learning Development Platform Available for Employees

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.

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