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. And were 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 engineeringoperationalizing 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 (humanautomatic 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
- 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.
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. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience f...
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. And were 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 engineeringoperationalizing 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 (humanautomatic 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
- 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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