Remote Cyber AI Engineering Manager

EY; Portland (OR); Hybrid; USD 145,000 - 290,000; Full time

Job summary

EY is seeking a Cyber AI Engineer at the Manager level to lead delivery of AI-driven security solutions. You will work with client security teams to deploy AI workflows for threat investigation, detection engineering, and remediation support, while guiding projects from prototype to production.

You will mentor teams, stay hands-on in architecture and reviews, and collaborate with frontier model providers to translate findings into engineering requirements. 25–50% travel may be required.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field and 5+ years of relevant experience; or a graduate degree and 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; experience deploying frontier AI models or LLM applications for cybersecurity; building agents, model tool integrations, retrieval pipelines, and evaluation harnesses.
• Understanding of prompt injection, data leakage, unsafe tool use, and safeguards per OWASP Top 10 for LLMs and MITRE ATLAS; knowledge of secure AI operations.
• Experience leading client-facing delivery or cross-functional engineering from requirements through deployment and handover.
• Strong writing, presentation, and technical documentation skills.
• Willingness to travel 25–50% based on client and business needs.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Use retrieval, tool calling, and structured outputs; build evaluation datasets and test harnesses to measure accuracy, FP rate, latency, and cost.
• Own technical delivery, workstreams, timelines, and budgets; mentor Senior Consultants and Consultants.
• Stay hands-on through architecture, pair programming, code reviews, and integration troubleshooting.
• Collaborate with frontier model providers and researchers to translate deployment findings into engineering requirements.
• Support proposals, demonstrations, thought leadership, and account growth; develop reusable components and delivery playbooks.

Skills

Frontier AI models

LLMs

Agentic architectures

Retrieval augmented generation

Software engineering

Delivery leadership

Client discovery

Stakeholder management

Problem solving

Documentation

Education

Bachelor's degree in Cybersecurity, CS, Information Systems, Engineering

5+ years of relevant experience

Graduate degree with 4+ years

Tools

Python

APIs

Git

Automated testing

CI/CD

Containers

AWS/Azure/GCP

Job description

EY is seeking a Cyber AI Engineer at the Manager level to lead delivery of AI-driven security solutions. You will work with client security teams to deploy AI workflows for threat investigation, detection engineering, and remediation support, while guiding projects from prototype to production.

You will mentor teams, stay hands-on in architecture and reviews, and collaborate with frontier model providers to translate findings into engineering requirements. 25–50% travel may be required.