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KLA

Makes chip inspection and measurement equipment

Global Cloud & AI Security Architect

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeAnn Arbor, MI, USAIn-person

About the Job

Requirements

  • At least 8 years of experience in cybersecurity, cloud security, security architecture, or related areas.
  • Strong experience with cloud security architecture across AWS, Azure, or GCP.
  • Strong understanding of Generative AI, large language models, AI agents, retrieval-augmented generation, APIs, and AI security risks.
  • Experience securing cloud-native technologies including containers, Kubernetes, and microservices.
  • Strong knowledge of identity and access management, Zero Trust, network security, data protection, and data loss prevention.
  • Experience with DevSecOps and Infrastructure-as-Code security.
  • Ability to evaluate new AI and cloud technologies and translate risks into practical security controls.
  • Strong communication, presentation, and cross-functional collaboration skills.

Responsibilities

  • Define and implement security strategies for enterprise cloud, Generative AI, and AI applications, working with Cloud, AI/ML, Engineering, Data, and Cybersecurity teams to ensure new technologies are secure by design.
  • Define security architecture for Generative AI, large language models, AI agents, copilots, and AI applications.
  • Identify and mitigate AI risks including prompt injection, data leakage, unauthorized access, insecure AI agents, and excessive permissions.
  • Develop security controls for AI platforms, retrieval-augmented generation, vector databases, APIs, and AI tools.
  • Establish security standards for enterprise use of ChatGPT, Microsoft Copilot, Claude, and other AI platforms.
  • Secure AI agents and their access to applications, data, APIs, and enterprise tools.
  • Evaluate AI security solutions and emerging technologies through proofs of concept and architecture assessments.
  • Develop an AI Security roadmap and governance framework.
  • Define security architecture for AWS, Azure, and/or GCP environments.
  • Secure cloud workloads, applications, containers, Kubernetes, APIs, and serverless services.
  • Define security controls for identity, access management, network security, data protection, encryption, and logging.
  • Implement Zero Trust and least-privilege principles across cloud environments.
  • Partner with Cloud and DevOps teams to integrate security into continuous integration and continuous delivery and Infrastructure-as-Code.
  • Identify cloud security gaps and provide practical remediation plans.
  • Create cloud and AI security standards, reference architectures, and security patterns.
  • Perform threat modeling and security assessments for new AI and cloud solutions.
  • Work with engineering teams to embed security-by-design into technology initiatives.
  • Evaluate security products, vendors, and emerging technologies.
  • Develop and maintain the Cloud & AI Security roadmap.
  • Communicate security risks and recommendations to technical teams and senior leadership.

Desired Qualifications

  • Experience with AI Security, Cloud-Native Application Protection Platforms, Cloud Security Posture Management, Cloud Workload Protection Platforms, Cloud Infrastructure Entitlement Management, Data Security Posture Management, or data loss prevention technologies.
  • Knowledge of the OWASP Top 10 for Large Language Model Applications and MITRE ATLAS.
  • Experience with AI security platforms and enterprise AI governance.
  • Experience with security automation and Python/API-based integrations.
  • CISSP, CCSP, cloud security, or AI security certifications.

About the Company

KLA

Makes chip inspection and measurement equipment

KLA makes equipment and software that help semiconductor and electronics manufacturers find defects, measure tiny features and improve production yields. Its process control systems inspect wafers and analyze manufacturing data so engineers can identify problems before they spread through a production run. The product portfolio supports chip fabrication, packaging and printed circuit boards, with tools that check materials and finished components throughout manufacturing. KLA earns revenue from equipment sales and related service contracts, including maintenance that keeps customers' installed tools operating reliably. Formed through a merger in 1997, KLA is headquartered in Milpitas, California.

Company size
10,001+
Company stage
IPO
Headquarters
Milpitas, CA
Founded
1997

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