Senior Cyber AI Engineer for Security AI

Ernst & Young Oman; Seattle (WA); Remote; USD 105,000 - 219,000; Full time

Job summary

EY is seeking a Cyber AI Engineer at the Senior Consultant level to help clients apply frontier AI models to real security challenges. You will build, evaluate, and deploy AI solutions—from prototype to production—with guidance from technical and engagement leaders.

You will own technical deliverables, work with client teams, contribute to architecture and code reviews, and help create reusable components, evaluation suites, and delivery playbooks while travel about 25–50%.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field.
• 3–5 years of relevant experience including hands-on software engineering and experience building or deploying AI/ML solutions.
• Proficiency in Python, APIs, Git, automated testing, and production delivery; experience in deploying AI/ML solutions for cybersecurity.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Own assigned technical deliverables, estimate tasks, and communicate progress and risks to engagement leaders.
• Contribute to architecture, pair programming, code reviews, and integration troubleshooting; document deployment findings.

Skills

Frontier AI models

LLMs

Agentic architectures

Retrieval-augmented generation

Python

APIs

Git

Education

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field

Tools

Model serving

CI/CD

Containers

API integrations

SIEM/SOAR integrations

Job description

EY is seeking a Cyber AI Engineer at the Senior Consultant level to help clients apply frontier AI models to real security challenges. You will build, evaluate, and deploy AI solutions—from prototype to production—with guidance from technical and engagement leaders.

You will own technical deliverables, work with client teams, contribute to architecture and code reviews, and help create reusable components, evaluation suites, and delivery playbooks while travel about 25–50%.