About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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

Responsibilities

  • 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.

Benefits

  • 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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