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AI Data Protection Staff Engineer
Role summary
We are looking for an AI Data Protection Staff Engineer to lead more complex engineering work across AI-enabled data protection deployments, with a stronger emphasis on automation, reusable assets, and hybrid/agentic deployment patterns. This role builds on the field engineer foundation by adding greater solution depth, stronger technical ownership, and the ability to operationalize scalable patterns that can be reused across multiple client environments. The internal role matrix specifically places this level at “above field engineer + agentic hybrid deployment, automate.

Key responsibilities





Lead the engineering design and implementation of advanced data protection solutions spanning discovery/classification, protection controls, PKI/KMS integrations, and rights management capabilities in AI-enabled enterprise environments.
Build and industrialize automation for deployment, policy tuning, control validation, reporting, and operational workflows using scripting, APIs, and engineering tooling. The internal frontier AI materials also identify automation-oriented assets such as smart classification and data map, rapid policy config deployer, and triage orchestrator as target capabilities for the adaptive data protection pillar.
Design and deploy hybrid and agentic patterns that bring together data protection platforms, AI tools, and enterprise data/workflow integrations while maintaining security, privacy, and control effectiveness.
Own technical workstreams in client engagements, including design decisions, engineering quality, integration approaches, troubleshooting o

📌 GDS Cyber-DPP-Senior-AI Data Protection Engineering (Noida)
🏢 EY
📍 Noida