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 security, data protection, and DLP.
- 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.
Total Rewards
Base Pay Range: $111,100.00 - $162,967.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
