Cyber AI Engineer Manager — Frontline AI Delivery Lead

EY; Dallas (TX); On-site; USD 145,000 - 266,000; Full time

Job summary

EY seeks a Cyber AI Engineer at Manager level to lead delivery of frontier AI security solutions for clients, combining hands-on engineering with project leadership from prototype to production. You will mentor consultants and collaborate with client teams to deliver secure, scalable AI capabilities.

The role emphasizes deploying risk-aware AI workflows, integrating with SIEM/SOAR, and shaping engineering requirements. Travel 25–50% to meet client needs and drive innovation in cybersecurity.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field with 5+ years hands-on software engineering and 1–2 years AI/ML deployment.
• Proficiency in Python, APIs, Git, automated testing, and production delivery; experience deploying frontier AI models for cybersecurity.
• Experience building agents, model tool integrations, retrieval pipelines, and evaluation harnesses.
• Security operations, threat investigation, detection engineering, or incident response automation.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Own technical delivery, workstreams, timelines, and budgets while mentoring Senior Consultants and Consultants.
• Collaborate with frontier model providers and researchers; translate deployment findings into engineering requirements.

Skills

Python

APIs

Git

Automated Testing

Production Delivery

Education

Bachelor's in Cybersecurity

Graduate Degree

Tools

AWS

Azure

GCP

SIEM

SOAR

Job description

EY seeks a Cyber AI Engineer at Manager level to lead delivery of frontier AI security solutions for clients, combining hands-on engineering with project leadership from prototype to production. You will mentor consultants and collaborate with client teams to deliver secure, scalable AI capabilities.

The role emphasizes deploying risk-aware AI workflows, integrating with SIEM/SOAR, and shaping engineering requirements. Travel 25–50% to meet client needs and drive innovation in cybersecurity.