Remote Cyber AI Engineer Manager: Frontier AI for Security

Ernst & Young Oman

Chattanooga (TN)

Remote

USD 145,000 - 266,000

Full time

14 days+
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Job summary

EY is seeking a Cyber AI Engineer Manager to lead delivery of frontier AI cyber solutions. You will combine hands-on engineering with delivery leadership to deploy AI workflows for threat investigations, detection, and remediation across client engagements.

The role involves mentoring consultants, managing timelines, and collaborating with frontier model providers to shape secure AI deployments. You will stay hands-on through architecture work, code reviews, and troubleshooting while guiding

Qualifications

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field; 5+ years of relevant experience; hands-on software engineering; 1–2 years building or deploying AI/ML solutions.

Responsibilities

  • Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
  • Own technical delivery, workstreams, timelines, and budgets while mentoring teams.
  • Lead architecture reviews, pair programming, code reviews, and integration troubleshooting.
  • Collaborate with frontier model providers and researchers to evaluate capabilities and translate findings into engineering requirements.
  • Support proposals, demonstrations, and account growth with reusable delivery playbooks.

Skills

Frontier AI
LLMs
Agentic architectures
Retrieval Augmentation
Security integration
Delivery leadership
DevSecOps
Stakeholder mgmt

Education

Bachelor's degree in Cybersecurity/CS/Info Systems/Engineering

Tools

Python
APIs
Git
AWS/Azure/GCP

Job description

EY is seeking a Cyber AI Engineer Manager to lead delivery of frontier AI cyber solutions. You will combine hands-on engineering with delivery leadership to deploy AI workflows for threat investigations, detection, and remediation across client engagements.

The role involves mentoring consultants, managing timelines, and collaborating with frontier model providers to shape secure AI deployments. You will stay hands-on through architecture work, code reviews, and troubleshooting while guiding

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