Senior AI Security Engineer — Build Safe AI Systems

EY; Sacramento (CA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Competitive compensation

Medical and dental coverage

Pension and 401(k) plans

Generous paid time off

Flexible vacation policy

Job summary

EY is seeking a security leader to embed AI system security across the lifecycle, partnering with product and engineering to implement reusable patterns and measurable coverage. You will run adversarial testing, develop practical controls, and drive evidence-based responses in a hybrid, travel‑heavy role based in California.

Join Challenger to shape safer AI offerings, build automated tests, and deliver secure, scalable solutions for diverse EY clients while balancing risk, velocity, and

Qualifications

• 5+ years of relevant experience.
• Bachelor’s Degree in a relevant field.
• Substantial experience in product, application, cloud, platform, or detection security, including hands-on ownership of production controls.
• Threat modeling: ability to assess complex systems and turn attack paths into practical engineering measures.
• Production security: securing modern applications, cloud environments, identities, data, networks, and delivery pipelines.
• AI systems knowledge: working understanding of generative and agentic AI, retrieval, model access, tool use, evaluation, and runtime behavior.
• Hands-on automation: building or extending security tests, controls, telemetry, or adversarial assessments.
• Response experience: supporting vulnerability or incident response and translating lessons into stronger controls.
• Cross-functional delivery: partnering with engineers and risk functions to improve security within delivery constraints.
• Travel and On-site: up to 50% travel; hybrid office arrangement.

Responsibilities

• Set the security direction with reusable AI security patterns and threat models aligned to each use case.
• Join builders early to identify credible attack paths and shape controls for the product and delivery model.
• Design scoped authority with practical patterns for identity, access, isolation, approvals, and recovery.
• Protect sensitive information across the data lifecycle, maintaining confidentiality and integrity.
• Secure the delivery path by integrating automated security tests, policy gates, and traceable changes.
• Test adversarially with red-team exercises and translate findings into stronger platform patterns.
• Build runtime protection using evidence and behavioral signals to detect abnormal actions.
• Strengthen response with vulnerability triage, containment options, and recovery actions.
• Advise on residual risk with concise technical recommendations to owners.
• Build shared capability by creating reference implementations and coaching engineers.

Skills

Security engineering depth

AI threat judgment

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Education

Bachelor’s Degree

Job description

EY is seeking a security leader to embed AI system security across the lifecycle, partnering with product and engineering to implement reusable patterns and measurable coverage. You will run adversarial testing, develop practical controls, and drive evidence-based responses in a hybrid, travel‑heavy role based in California.

Join Challenger to shape safer AI offerings, build automated tests, and deliver secure, scalable solutions for diverse EY clients while balancing risk, velocity, and