Senior AI Security Engineer: Build Safe AI Systems

EY; Kansas City (MO); Hybrid; USD 110,000 - 190,000; Full time

Job summary

EY Challenger is recruiting a security leader to shape AI security across data, tools, and processes. You will embed controls throughout the lifecycle, run adversarial testing, and convert findings into repeatable patterns and measurable coverage.

This builder role partners with product and engineering teams to create reusable security patterns and safe, auditable deployments, in a hybrid US-wide setup. The Challenger Core develops shared tooling, guardrails, and reference implementations to

Qualifications

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

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.

Job description

EY Challenger is recruiting a security leader to shape AI security across data, tools, and processes. You will embed controls throughout the lifecycle, run adversarial testing, and convert findings into repeatable patterns and measurable coverage.

This builder role partners with product and engineering teams to create reusable security patterns and safe, auditable deployments, in a hybrid US-wide setup. The Challenger Core develops shared tooling, guardrails, and reference implementations to