Senior AI Security Engineer - Build Safer AI

EY; Wichita (KS); Hybrid; USD 107,000 - 193,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Flexible vacation policy

Job summary

EY is seeking a Security Senior Engineer in the US to advance AI safety through scalable controls and threat modeling. You’ll partner with product and engineering to embed security across the lifecycle, turning adversarial insights into reusable patterns with evidence and repeatable tests.

The Challenger program builds shared capabilities and practical guardrails, and promotes hands-on automation, cross‑functional collaboration, and clear risk guidance for executives and product teams.

Qualifications

• 5+ years of relevant experience.
• Bachelor’s Degree in a relevant field.
• Experience in product, application, cloud, platform, or detection security with production controls.
• Threat modeling: assess complex systems and turn attack paths into practical measures.
• Production security across modern apps, cloud, identities, data, and pipelines.
• AI systems knowledge: understanding generative and agentic AI incl retrieval, model access, tool use, evaluation, and runtime behavior.
• Hands-on automation: build or extend security tests, controls, telemetry, reference implementations, or adversarial assessments.
• Response experience: support vulnerability or incident response and translate lessons into stronger technical controls.
• Cross-functional delivery: partner with engineers and risk functions.
• Travel and On-site: up to 50% travel, hybrid office.

Responsibilities

• Set the security direction with reusable AI security patterns, control objectives, reference architectures, and threat models aligned to the risk and autonomy of each use case.
• Join builders early: identify credible attack paths and shape controls that fit the product and delivery model.
• Design scoped authority: create practical patterns for identity, access, isolation, approvals, and recovery.
• 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

AI threat judgment

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Education

Bachelor’s Degree

Job description

EY is seeking a Security Senior Engineer in the US to advance AI safety through scalable controls and threat modeling. You’ll partner with product and engineering to embed security across the lifecycle, turning adversarial insights into reusable patterns with evidence and repeatable tests.

The Challenger program builds shared capabilities and practical guardrails, and promotes hands-on automation, cross‑functional collaboration, and clear risk guidance for executives and product teams.