Senior AI Security Engineer — Threat & Trust for Autonomous AI

EY; Atlanta (GA); Hybrid; USD 128,000 - 193,000; Full time

Job summary

EY is seeking an experienced security professional to embed AI security across the lifecycle, collaborating with product and engineering teams to design scalable, enforceable controls and repeatable tests. You will model threats, run red-team exercises, and guide risk-informed decisions while maintaining production-grade security in a hybrid work setting.

The role emphasizes hands-on security delivery, automation, and cross-functional influence to improve safety and business value across EY’s AI

Qualifications

• 5+ years of relevant experience.
• Hands-on ownership of production controls.
• Experience securing modern applications, cloud environments, identities, data, and software delivery pipelines.
• Working understanding of generative and agentic AI, including retrieval, model access, tool use, evaluation, and runtime behavior.

Responsibilities

• Set the security direction. Own reusable AI security patterns, control objectives, reference architectures, and threat models aligned to the risk and autonomy of each use case.
• Join builders early. Work with teams before key design choices are fixed, identifying credible attack paths and shaping controls that fit the product and delivery model.
• Design scoped authority. Create practical patterns for identity, access, isolation, approvals, and recovery so tool-using AI acts within clear and enforceable boundaries.
• Protect sensitive information. Embed security across the data lifecycle, preserving confidentiality, integrity, provenance, permitted use, and monitored access.
• Secure the delivery path. Integrate automated security tests, policy gates, trusted artifacts, traceable changes, and safe rollback into engineering workflows.
• Test adversarially. Run focused red-team exercises against AI-specific abuse cases and convert findings into repeatable tests, stronger platform patterns, and actionable guidance.
• Build runtime protection. Use end-to-end evidence and behavioral signals to detect abnormal actions, privilege misuse, attempted exfiltration, and degrading controls.
• Strengthen response. Support vulnerability triage and incidents with clear evidence, containment options, recovery actions, and lessons that improve future designs.
• Advise on residual risk. Give product, security, evaluation, and risk leaders concise technical recommendations while keeping approval and risk-acceptance decisions with accountable owners.
• Build shared capability. Create reference implementations, coach engineers, and turn production lessons into reusable controls that make the safer path easier to adopt.

Skills

Security engineering depth

AI threat judgment

Automation capability

Cross-functional delivery

Threat modeling

Production security

Agentic security

Detection engineering

High-assurance delivery

Response experience

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking an experienced security professional to embed AI security across the lifecycle, collaborating with product and engineering teams to design scalable, enforceable controls and repeatable tests. You will model threats, run red-team exercises, and guide risk-informed decisions while maintaining production-grade security in a hybrid work setting.

The role emphasizes hands-on security delivery, automation, and cross-functional influence to improve safety and business value across EY’s AI