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AI Data Protection Forward Deployed Engineer – Manager
Role summary
We are looking for an AI Data Protection Forward Deployed Engineer – Manager to act as the technical owner for client-facing data protection transformations that sit at the intersection of enterprise platforms, cybersecurity controls, and AI tools. This role is for a hands-on leader who can move from discovery to design to deployment, embedding closely with clients to architect and implement high-impact solutions while leading engineering teams and shaping deals. Your internal role matrix positions this level as the next step beyond field/staff engineering: not just delivery,



but architecting solutions at the intersection of platforms and AI tools (agents and models). That aligns closely with external FDE market patterns focused on customer-embedded technical ownership and end-to-end production deployment.

Key responsibilities

Lead the discovery, architecture, and deployment of AI-enabled data protection solutions for strategic clients, translating business, privacy, and cybersecurity requirements into scalable technical designs.
Serve as a forward deployed technical leader, embedding with client stakeholders to break down ambiguous problem statements, make architecture decisions, and drive measurable outcomes in production. External FDE role definitions from EY, Databricks, Palantir, and Deloitte all emphasize this embedded technical ownership model.
Architect integrations across data protection platforms, AI models, copilots, RAG pipelines, enterprise data estates, and downstream security/policy controls.
Lead engineering teams through build, in

📌 GDS Cyber (India)
🏢 EY
📍 India