Security Architect – AI Technologies

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Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. 

As a Security Architect focused on AI at Commvault, you will help secure the design and deployment of vendor developed AI- and ML-enabled systems across our internal environment and internal platforms. This role is hands-on and forward-looking, centered on identifying and mitigating security risks unique to AI systems while enabling innovation at scale.

As a member of the Security Architecture team you will partner closely with Enterprise Architecture, Security Engineering, and Cloud Security teams to conduct security reviews of AI enabled products and workflows.

• →Identify and assess security risks associated with AI/ML systems, models, data pipelines, and integrations
• →Define and implement security controls for AI development, training, deployment, and inference environments.
• →Partner with engineering teams to embed security into AI design reviews, threat modeling, and SDLC processes.
• →Assess and mitigate risks such as data leakage, model abuse, prompt injection, and unauthorized access.
• →Secure AI-related data sources, training datasets, and model artifacts.
• →Evaluate third-party AI services and integrations for security and compliance risk.
• →Develop guidance, standards, and guardrails for secure and responsible AI usage.
• →Support incident response involving AI systems or AI-related attack vectors.
• →Monitor emerging AI threats and vulnerabilities and translate them into actionable controls.
• →Support compliance, privacy, and customer trust requirements related to AI usage.

• 5+ years of experience in information security, product security, or security engineering roles
• Strong communication ability to work with both technical stakeholders and leadership
• Strong, structured writing ability needed to conduct security reviews
• Strong understanding of application security fundamentals and secure SDLC practices.
• Strong understanding of securing AI-related authentication and authorization mechanisms (OAuth 2.0, OIDC, general token management)
• Familiarity with AI/ML concepts, workflows, and common architectures.
• Familiarity with MCP, tools and AI policy guardrails
• Familiarity with LLM security risks (e.g., prompt injection, data poisoning, model extraction).
• Experience securing cloud-based services and data pipelines.
• Knowledge of modern threat modeling and risk assessment techniques.
• Comfortable collaborating with engineering, data science, and product teams.
• Able to translate complex security risks into practical guidance.

• Knowledge of data protection, privacy, and governance principles.
• Experience with cloud-native security tools and platforms.
• Security certifications (CISSP, CCSP, GWAPT) or relevant AI/security coursework.
• Experience with Agentic workflows and multi-agent architecture concepts including planning loops, tool selection control, state management, policy guardrails/constraint enforcement
• Familiarity with platforms like Langgraph, LangChain, CrewAI, AutoGPT or similar solutions

• Continuous professional development, product training, and career pathing
• An inclusive company culture, opportunity to join our Employee Groups
• Generous benefits supporting your health, financial security, and work-life balance
• Employee stock purchase plan (ESPP)

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