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Ernst & Young LLP ( EY India )
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Thiruvananthapuram · Hybrid · 3-5 Yrs · Sep 29
1 views
18 open roles2 posted in 7d18 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
GDS Cyber - DPP - Senior - AI Data Protection Engineering At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.
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 of complex issues, and stabilization planning.
- Work across data protection, AI engineering, privacy, and cloud teams to ensure solutions are operationally sound, scalable, and aligned with client architecture and compliance requirements.
Qualifications
- 58 years of
- experience in data protection engineering, cybersecurity engineering, privacy engineering, cloud security engineering, or adjacent domains. Strong
- experience with data protection, data discovery/classification, PKI & KMS, and information rights management. Working
- knowledge of ML, deep learning, NLP, RAG, AI-assisted prioritization, and model risk scoring, with the ability to apply these concepts in production-oriented delivery contexts.
- Experience with one or more major data protection ecosystems such as Microsoft Purview, Cyera, Varonis, Sentra, CrowdStrike Falcon DSPM, or Wiz DSPM. Strong scripting/integration skills in Python, plus
- experience with APIs, cloud services, and engineering toolchains. Ability to independently lead technical workstreams in ambiguous, client-facing delivery environments. Comparable customer-facing AI engineering roles strongly emphasize production-grade delivery, communication, and end-to-end ownership. Preferred qualifications
- Experience with automated policy deployment, classification engineering, data mapping, or AI-enabled triage/orchestration patterns.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior AI Data Protection Engineer at Ernst & Young LLP ( EY India )?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ernst & Young LLP ( EY India ) may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Data Protection Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Data Protection Engineer remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked hybrid with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Senior AI Data Protection Engineer role at Ernst & Young LLP ( EY India )?
- This is a senior Senior AI Data Protection Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.