Cyber AI Engineer Manager: Frontline AI Security Leader

EY; New York (NY); On-site; USD 144,000 - 291,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension plan

401(k)

Job summary

EY is seeking a Cyber AI Engineer (Manager) to lead front-line delivery of AI-powered cybersecurity solutions. You’ll work with client security teams to deploy AI workflows for threat detection, investigations, and remediation while guiding multi‑discipline teams through architecture, code reviews, and deployment troubleshooting.

You will mentor consultants, manage budgets and timelines, and collaborate with frontier model providers to translate findings into engineering requirements.

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field with 5+ years of relevant experience; or graduate degree with 4+ years.
• Hands‑on software engineering and 1–2 years building or deploying AI/ML solutions.
• Proficiency in Python, APIs, Git, automated testing, and production delivery.

Responsibilities

• Own technical delivery, workstreams, timelines, and budgets; mentor senior consultants and consultants.
• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Collaborate with frontier model providers; translate deployment findings into engineering requirements; develop reusable components and playbooks.

Skills

Frontier AI models

LLMs

Agentic architectures

Retrieval augmentation

Software engineering

Model integrations

Tool‑calling

Evaluation harnesses

Secure AI operations

Communication with executives

Education

Bachelor’s degree in Cybersecurity/CS/Engineering

Graduate degree (preferred)

Tools

Python

APIs

Git

CI/CD

AWS

Azure

GCP

Job description

EY is seeking a Cyber AI Engineer (Manager) to lead front-line delivery of AI-powered cybersecurity solutions. You’ll work with client security teams to deploy AI workflows for threat detection, investigations, and remediation while guiding multi‑discipline teams through architecture, code reviews, and deployment troubleshooting.

You will mentor consultants, manage budgets and timelines, and collaborate with frontier model providers to translate findings into engineering requirements.