Global Cloud AI Security Architect

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionKLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. The Cloud & AI Security Architect will define and implement security strategies for enterprise cloud, Generative AI, and AI applications. This role will work closely with Cloud, AI/ML, Engineering, Data, and Cybersecurity teams to ensure new cloud and AI technologies are secure by design. Key Responsibilities: AI Security Define security architecture for Generative AI, LLMs, 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, RAG, 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 POCs and architecture assessments. Develop an AI Security roadmap and governance framework. Cloud Security 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 CI/CD and Infrastructure-as-Code. Identify cloud security gaps and provide practical remediation plans. Security Architecture & Strategy 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. Preferred Skills Experience with AI Security / CNAPP / CSPM / CWPP / CIEM / DSPM / DLP technologies. Knowledge of OWASP Top 10 for LLM 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 are a plus. Minimum Qualifications 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, LLMs, AI agents, RAG, APIs, and AI security risks. Experience securing cloud-native technologies including containers, Kubernetes, and microservices. Strong knowledge of IAM, Zero Trust, network