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EY - GDS Consulting - AI and DATA - Responsible AI - Senior

Location:  Bengaluru
Other locations:  Primary Location Only
Salary: Competitive
Date:  Sep 30, 2025

Job description

Requisition ID:  1638703

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

 

EY | Building a better working world 


 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  


 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  


 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

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