Senior AI Security Engineer — Build Safe, Scalable AI

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

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Flexible vacation policy

Job summary

EY Challenger is seeking a security-focused leader to embed safeguards across AI lifecycles. You’ll work with product and engineering teams to prove controls, design practical security patterns, and replace ad-hoc reviews with reusable, evidence-based approaches.

Senior role requiring 5+ years, bachelor’s degree, and hands-on experience in production security, threat modeling, and automation. Travel up to 50% and hybrid office work are expected.

Qualifications

• Security engineering across application, cloud, platform, identity, data, and software delivery security.
• Ability to model prompts, retrieval, agents, tools, users, and external services to identify new attack paths.
• Translate threats into preventive, detective, and responsive measures.
• Experience in red teaming, reproducible testing, vulnerability analysis, and incident learning.
• Build security tests, controls, telemetry, and reference components for delivery pipelines.
• Clear communication of risk with product judgment without drama.

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

AI threat judgment

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Education

Bachelor’s Degree in a relevant field

Job description

EY Challenger is seeking a security-focused leader to embed safeguards across AI lifecycles. You’ll work with product and engineering teams to prove controls, design practical security patterns, and replace ad-hoc reviews with reusable, evidence-based approaches.

Senior role requiring 5+ years, bachelor’s degree, and hands-on experience in production security, threat modeling, and automation. Travel up to 50% and hybrid office work are expected.