GDS Consulting - AI and DATA - Responsible AI - Senior

3 - 7 years

20 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

At EY, you'll 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. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Responsible AI Engineer (Governance Safety) - Senior

Role summary

You will lead

AI governance, safety, and compliance engineering

operationalizing

LLMOps/Agentic Ops

, security and privacy controls,

LLM evaluation

, and

guardrails/ethics

for production AI systems. The remit spans policy to code frameworks, controls, tooling, documentation, red teaming, and continuous evaluation.

Key responsibilities

  • Establish and run

    LLMOps/Agentic Ops

    practices (lifecycle, approvals, versioning, observability, incident response/playbooks) integrated with platform tooling.
  • Define and enforce

    governance security

    controls (PII protection, data residency, model access, content safety, jailbreak/prompt injection defenses), integrating with enterprise security.
  • Build

    LLM evaluation

    pipelines (groundedness/faithfulness, toxicity/PII, bias/fairness, robustness) and quality gates for pre prod and ongoing

    post deployment

    monitoring.
  • Implement

    guardrails/ethics

    (policy as code, allow/deny lists, safety filters, red teaming harnesses) and ensure compliant documentation (model cards, data sheets, DPIAs).
  • Contribute production grade

    Python

    libraries, policies, and

    APIs

    that product teams can adopt as a service ; partner with platform teams on

    AWS/Azure

    controls.

Must have skills

  • LLMOps/Agentic Ops

    patterns and tooling
  • Governance/Security

    (threat modeling for LLMs, privacy, access controls)
  • LLM Evaluation

    frameworks (human+automatic metrics; eval harnesses)
  • Guardrails/Ethics

    techniques and incident playbooks
  • Python

  • AWS/Azure

  • API development

    for governance services

Good to have

  • Familiarity with

    RAG/advanced agentic AI

    to guide safe design choices

Qualifications experience

  • B.Tech/M.Tech/MS in CS/EE or equivalent.
  • 4+ years

    in Responsible AI Engineering






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