Senior Cyber AI Engineer — Frontier AI & Security

Ernst & Young Oman; Concord (NH); Remote; USD 126,000 - 210,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Cyber AI Engineer (Senior Consultant) to help clients deploy frontier AI models for cybersecurity. You will build, evaluate, and deploy AI solutions from prototype to production, guided by engagement leaders.

You will own technical deliverables, collaborate with client teams, and contribute to architecture, testing, and secure operations while traveling 25–50% based on client needs.

Qualifications

• A bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field and 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, plus experience in deploying frontier AI models or LLM applications 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 to engagement leaders.
• Contribute to architecture, pair programming, code reviews, and integration troubleshooting while supporting Consultants.
• Document deployment findings and develop reusable components, evaluation suites, and delivery playbooks.

Skills

frontier AI models

LLMs

agentic architectures

retrieval-augmented generation

software engineering

model integrations

tool calling

evaluation harnesses

secure AI operations

Education

Bachelor's degree in Cybersecurity/CS/Info Systems/Engineering

Tools

Python

APIs

Git

automated testing

CI/CD

Job description

EY is seeking a Cyber AI Engineer (Senior Consultant) to help clients deploy frontier AI models for cybersecurity. You will build, evaluate, and deploy AI solutions from prototype to production, guided by engagement leaders.

You will own technical deliverables, collaborate with client teams, and contribute to architecture, testing, and secure operations while traveling 25–50% based on client needs.