Senior Cyber AI Engineer | Frontier AI for Cybersecurity

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

Job summary

EY’s Cyber AI practice is seeking a Senior Consultant Cyber AI Engineer to help clients deploy frontier AI models securely across production environments in the US. You will own technical deliverables, guide architecture, and collaborate with client teams to turn use cases into scalable AI solutions.

You will work on threat investigation, detection engineering, and remediation support, building evaluation datasets and reusable components while traveling up to 25–50% as needed.

Qualifications

• Bachelor's degree in a related field with 3–5 years hands-on software engineering and AI/ML deployment experience.

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.
• Work with model providers and researchers to test capabilities and document deployment findings.
• Create demonstrations, proposals, and reusable components for delivery playbooks.

Skills

Frontier AI concepts

Client collaboration

Software engineering

Model integrations

Maintainable solutions

Troubleshooting

Model explainability

Cross-functional teamwork

Independent work

Secure engineering

Education

Bachelor's degree in Cybersecurity/CS

Tools

Python

APIs

Git

CI/CD

Containers

Cloud platforms

Job description

EY’s Cyber AI practice is seeking a Senior Consultant Cyber AI Engineer to help clients deploy frontier AI models securely across production environments in the US. You will own technical deliverables, guide architecture, and collaborate with client teams to turn use cases into scalable AI solutions.

You will work on threat investigation, detection engineering, and remediation support, building evaluation datasets and reusable components while traveling up to 25–50% as needed.