Cyber AI Engineer Manager: Frontline AI Security Leader

Ernst & Young Oman; Hoboken (NJ); Remote; USD 150,000 - 305,000; Full time

Job summary

EY is hiring a Cyber AI Engineer (Manager level) to advance frontier AI in cybersecurity. You’ll lead technical delivery, guide cross‑functional teams, and work with clients to deploy AI workflows from prototype to production, ensuring security and reliability.

The role emphasizes mentorship, architecture, and collaboration with researchers and providers to translate findings into robust engineering requirements. Travel is 25–50% based on client needs.

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field.
• 5+ years hands-on software engineering experience.
• Experience deploying AI/ML solutions in cybersecurity.
• Proficiency in Python, APIs, Git, and automated testing.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Own technical delivery, workstreams, timelines, and budgets while mentoring staff.
• Collaborate with frontier model providers and researchers to evaluate capabilities.
• Develop reusable components, evaluation suites, and delivery playbooks.
• Support proposals, demonstrations, thought leadership, and account growth.
• Lead client-facing delivery from requirements through deployment and handover.

Skills

Frontier AI models

LLMs

Retrieval-augmented generation

Security engineering

Delivery leadership

Education

Bachelor's degree in Cybersecurity/CS/Engineering

Tools

Python

APIs

Git

CI/CD

Cloud (AWS/Azure/GCP)

Job description

EY is hiring a Cyber AI Engineer (Manager level) to advance frontier AI in cybersecurity. You’ll lead technical delivery, guide cross‑functional teams, and work with clients to deploy AI workflows from prototype to production, ensuring security and reliability.

The role emphasizes mentorship, architecture, and collaboration with researchers and providers to translate findings into robust engineering requirements. Travel is 25–50% based on client needs.