Principal Security Engineer, AI Governance
Blue Sky Marketing Group (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 50–85 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end AI Governance program, including managing risk registers and assessment methodologies across GenAI, Agentic AI, Shadow AI, and AI Gateway/MCP domains.
- Identify, prioritize, and remediate security risks in AI deployments; architect security reference patterns and lead design authority reviews for AI integration.
- Lead evaluations of AI security tools, drive cross-domain security architecture reviews, and partner with engineering and enterprise teams to report and mitigate AI-related risks.
Minimum Requirements
- 10+ years in security engineering or cybersecurity with end-to-end security domain or program ownership and cross-functional risk management experience.
- Working knowledge of modern AI/ML systems, including generative AI and agentic AI, and the associated security risks.
- Experience or understanding of AI gateways, Model Context Protocol (MCP), CASB/SWG, DLP tooling, and shadow AI detection/governance.
- Ability to lead security architecture and risk assessments across multiple core security domains (network, endpoint, cloud, data).
Ideal Candidate Profile
- Deep expertise in security engineering with strong familiarity securing GenAI or LLM-based enterprise applications and related AI security risks.
- Proven ability to influence senior stakeholders and lead cross-functional teams without direct authority in a globally distributed environment.
- Experience designing security reference architectures and applying threat modeling specifically to AI or novel technology stacks.