Senior Cyber AI Engineer — Frontier ML for Security

Ernst & Young Oman

Kansas City (MO)

Remote

USD 105,000 - 219,000

Full time

14 days+
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Benefits offered by this job

Medical and dental coverage
Pension
401(k) plans
Paid time off

Job summary

EY is seeking a Cyber AI Engineer at Senior Consultant level to deploy AI workflows for threat investigation, detection engineering, and remediation support. You will build, test, and deploy AI solutions from prototype to production with support from leaders.

You will own technical deliverables, estimate tasks, and collaborate on architecture, code reviews, and client demonstrations while working with model providers and researchers to test capabilities.

Qualifications

  • Bachelor's degree in Cybersecurity, CS, IS, Engineering or related field; 3–5 years of relevant experience.
  • Proficiency in Python, APIs, Git, automated testing, and production delivery.
  • Experience deploying frontier AI models or LLM apps for cybersecurity.
  • Experience building agents, model integrations, retrieval pipelines and evaluation harnesses.
  • Security operations, threat investigation, or incident response automation.

Responsibilities

  • Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
  • Own assigned technical deliverables, estimate tasks, and communicate progress to leaders.
  • Contribute to architecture, code reviews, and integration troubleshooting; support Consultants.

Skills

Frontier AI
LLMs
Python
APIs
Git
CI/CD
Containers
Threat investigation
Deployment
Documentation

Education

Bachelor's degree in Cybersecurity/CS/IS/Engineering

Tools

Git
APIs
CI/CD
Cloud platforms

Job description

EY is seeking a Cyber AI Engineer at Senior Consultant level to deploy AI workflows for threat investigation, detection engineering, and remediation support. You will build, test, and deploy AI solutions from prototype to production with support from leaders.

You will own technical deliverables, estimate tasks, and collaborate on architecture, code reviews, and client demonstrations while working with model providers and researchers to test capabilities.

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