AI Security Engineer

Protect Enterprise Innovation as Our Next AI Security Engineer! Are you ready to lead the defense of cutting-edge artificial intelligence systems across a global technology leader? Join our team to secure agentic systems, safeguard models against adversarial threats, and embed robust automated controls into next-generation AI deployments. About Us: Trimble is an industrial technology company transforming the way the world works by delivering solutions that enable our customers to thrive. We create technologies that connect the digital and physical worlds, helping our customers increase productivity, quality, safety, and sustainability. From purpose-built products to enterprise-level solutions, our technology empowers professionals in construction, geospatial, government, transportation, and more. Corporate: Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. For more information about Trimble (Nasdaq:TRMB), visit: www.trimble.com. What Makes This Role Great: In this high-impact senior individual contributor role, you will serve as the dedicated AI security expert across the enterprise, bridging Agentic AI, Cyber Security, and AI Governance. You will have full ownership to design adversarial attack scenarios, secure agentic systems, and develop secure-by-default reference architectures that directly protect next-generation enterprise technology. Key Exciting Responsibilities * Assess and secure AI agents, tool integrations, and agentic workflows while evaluating permission scoping, action-chain risk, and non-human identity frameworks. * Design and execute advanced adversarial attack scenarios including prompt injection, jailbreaking, insecure output handling, and data leakage across retrieval pipelines. * Partner with AI engineers to establish automated security guardrails, vector store access controls, and output filtering policies across model lifecycles. * Audit AI Ops pipelines, vet third-party AI supply chain components, and lead model risk assessments prior to production deployment. * Develop enterprise AI security standards and train cross-functional AppSec, SecOps, and GRC teams on AI-specific attack classes and threat mitigations. Essential Skills & Experience * 5+ years of security engineering or application security experience with demonstrated technical depth in operational AI attack classes. * Hands-on proficiency with Python, MLOps tooling, AI frameworks (PyTorch, TensorFlow), and agent protocols (MCP). * Practical experience executing AI red-teaming using open-source tools such as PyRIT, Garak, or Promptfoo. * Solid background in cloud security architecture across AWS, Azure, or GCP and containerized environment security. * Strong working knowledge of OWASP Top 10 for LLMs, OWASP agentic threat guidance, and NIST AI RMF standards. Bonus Points For: * Experience with commercial AI security platforms, shadow AI discovery tools, or applied MITRE ATLAS tactics. * Awareness of international AI governance frameworks, including ISO/IEC 42001 and the EU AI Act. * Contributions to open-source AI security tools, published security research, CVEs, or industry... For full info follow application link. It is Trimble's policy that candidates are entitled to equal employment opportunities without regard to race, color, religion, sex, national origin, age, marital or veteran status, sexual orientation or the presence of a medical condition or disability.