Senior AI Security Engineer - Defend AI Workflows (Remote)

EY; Memphis (TN); Hybride; USD 107 000 - 201 000; Plein temps

Résumé du poste

EY in the United States is seeking an experienced security leader for Challenger, EY's AI security program. You will embed security into AI lifecycles, prove defenses under adversarial conditions, and replace one-off reviews with reusable patterns and evidence.

Join Challenger Core to build shared security tooling, threat models, and governance. You will collaborate with product and engineering teams, influence design choices, and guide risk-aware secure delivery across data, AI services, and

Qualifications

• 5+ years of relevant experience.
• Threat modeling: ability to assess complex systems and translate attack paths into practical engineering measures.
• Production security: securing modern applications, cloud environments, identities, data, and delivery pipelines.
• AI systems knowledge: working understanding of generative and agentic AI, including retrieval, model access, tool use, evaluation, and runtime behavior.
• Hands‑on automation: building or extending security tests, controls, telemetry, and reference implementations.

Responsabilités

• 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.

Connaissances

Security engineering depth

AI threat judgment

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Formation

Bachelor’s Degree in a relevant field

Description du poste

EY in the United States is seeking an experienced security leader for Challenger, EY's AI security program. You will embed security into AI lifecycles, prove defenses under adversarial conditions, and replace one-off reviews with reusable patterns and evidence.

Join Challenger Core to build shared security tooling, threat models, and governance. You will collaborate with product and engineering teams, influence design choices, and guide risk-aware secure delivery across data, AI services, and