Senior AI Security Engineer - Build Safe AI Systems

EY; Chattanooga (TN); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Competitive compensation

Medical and dental benefits

Paid time off

Job summary

EY seeks a security-focused professional to embed robust AI security controls across data, tools, and processes. You will partner with product and engineering teams to define threat models, perform adversarial testing, and implement reusable patterns that enable safer AI deployments.

The role emphasizes practical control engineering, automated security testing, and strong collaboration with cross‑functional teams in a hybrid work environment.

Qualifications

• Strong foundations in application, cloud, platform, identity, data, and software delivery security.
• Ability to model prompts, retrieval, agents, tools, users, and external services to identify attack paths.
• Experience translating threats into preventive, detective, and responsive measures.
• Practical skill in red teaming, reproducible testing, vulnerability analysis, and incident learning.
• Experience building security tests, telemetry, and reference implementations into delivery pipelines.

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

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Education

Bachelor’s Degree in a relevant field

Job description

EY seeks a security-focused professional to embed robust AI security controls across data, tools, and processes. You will partner with product and engineering teams to define threat models, perform adversarial testing, and implement reusable patterns that enable safer AI deployments.

The role emphasizes practical control engineering, automated security testing, and strong collaboration with cross‑functional teams in a hybrid work environment.