Senior AI Security Engineer: Build Safe AI

EY; Tulsa (OK); Hybrid; USD 110,000 - 190,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Flexible vacation policy

Job summary

EY Challenger is seeking a security‑savvy professional to shape secure AI across data, tools and processes. You will partner with product and engineering teams to embed defenses, prove controls under adversarial conditions, and create reusable patterns with measurable coverage and evidence.

The role emphasizes threat modeling, production security, and hands‑on automation, with up to 50% travel and hybrid office access in the US.

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: assess complex systems and turn attack paths into practical engineering measures.
• Production security: secure modern applications, cloud environments, identities, data, networks, and software delivery pipelines.
• AI systems knowledge: 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, reference implementations, or adversarial assessments.
• Response experience: support vulnerability or incident response and translate lessons into stronger technical controls.
• Cross‑functional delivery: 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 access.

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 red-team exercises against AI-specific abuse cases and convert findings into repeatable tests and stronger platform patterns.
• Build runtime protection. Use evidence and behavioral signals to detect abnormal actions, privilege misuse, exfiltration, and degrading controls.
• Strengthen response. Support vulnerability triage and incidents with evidence, containment options, recovery actions, and lessons.
• Advise on residual risk. Provide concise technical recommendations while keeping accountability with owners.
• Build shared capability. Create reference implementations, coach engineers, and turn production lessons into reusable controls.

Skills

Security engineering

AI threat judgment

Control engineering

Adversarial mindset

Automation capability

Pragmatic influence

Education

Bachelor’s Degree in a relevant field

Tools

Security testing tools

Job description

EY Challenger is seeking a security‑savvy professional to shape secure AI across data, tools and processes. You will partner with product and engineering teams to embed defenses, prove controls under adversarial conditions, and create reusable patterns with measurable coverage and evidence.

The role emphasizes threat modeling, production security, and hands‑on automation, with up to 50% travel and hybrid office access in the US.