Specialist, AI Security Engineer

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. KLA is well known for its high-performing business model which routinely produces significant profit margins and revenue. Key to supporting KLA business is the finance team that partners with corporate and global business organizations to provide expertise and guidance for developing and executing sound business models and practices. The Finance organization consists of operations and corporate finance teams. The operations finance team influences business decisions by gathering the best available operations information, distilling it and making recommendations to our management team on the best course of action. The corporate team provides a broad range of services, such as financial planning, corporate accounting, tax, industry analysis and benchmarking, internal audits, SEC reporting and merger and acquisition support.

• Execute AI security testing and adversarial assessments (e.g., prompt injection, jailbreaks, data exfiltration, tool/plugin abuse) by running test plans, maintaining test cases, and helping automate regression checks.
• Support production operations for enterprise AI applications: participate in incident triage, debug issues, implement fixes, and contribute to post-incident follow-ups and reliability improvements.
• Implement and maintain observability and monitoring (logs/metrics/traces) to detect suspicious or unsafe interaction patterns and reliability issues, and tune alerting to reduce noise while improving detection.
• Build and enhance IP protection and safety guardrails (sensitive data detection/redaction, policy enforcement, access-control verification, safe tool-use constraints, audit logging) under established standards.
• Contribute to threat modeling and secure design reviews for AI application changes (model, retrieval/data access, tools/agents), documenting risks and helping implement mitigations before release.
• Implement DevSecOps controls for AI applications (CI/CD security gates, dependency updates, secrets management, least privilege, vulnerability remediation, safe rollout/rollback practices).
• Collaborate with engineering and corporate security stakeholders by documenting runbooks/playbooks, improving operational processes, and contributing to security and reliability standards.

• 3+ years of experience in security engineering, production engineering/SRE, DevSecOps, or closely related roles, including supporting production systems.
• Hands-on experience securing and operating cloud-native applications (containers, Kubernetes, CI/CD, secrets management, IAM/RBAC, logging/monitoring).
• Familiarity with AI/LLM security risks and mitigations (prompt injection/jailbreaks, data exfiltration, unsafe tool use, evaluation gates) and interest in staying current as threats evolve.
• Strong programming and troubleshooting skills (Python preferred) and ability to build automation for testing, monitoring, and response workflows.
• Strong communication and collaboration skills; able to work effectively in incident response and cross-functional security/engineering workflows.
• Prior experience in environments protecting proprietary IP and/or high-assurance systems is a plus.