Senior Cyber AI Engineer | Frontier AI for Security

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

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking a Cyber AI Engineer to advance frontier AI in cybersecurity, working as a senior consultant on client engagements. You will deploy and evaluate AI workflows from prototype to production, collaborating with client security and engineering teams to ensure robust, secure deployments.

You will own technical deliverables, mentor teammates, and contribute to architecture, tooling, and demonstrations while traveling 25–50% as needed.

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field with 3–5 years of hands‑on software engineering and AI/ML deployment experience.
• Proficiency in Python, APIs, Git, automated testing, and production delivery; experience deploying frontier AI models for cybersecurity.
• Experience building agents, tool integrations, retrieval pipelines, and evaluation harnesses.
• Security operations, threat investigation, detection engineering, or incident response automation.
• DevSecOps, CI/CD, containers, and infrastructure-as-code for AI services.
• Cloud engineering and secure AI deployment on AWS/Azure/GCP.
• API integration with SIEM, SOAR, EDR, vulnerability management, or code security platforms.
• Understanding of prompt injection, data leakage, unsafe tool use, and OWASP Top 10 for LLMs/MITRE ATLAS.
• Experience contributing to client-facing delivery or cross-functional engineering, from requirements through deployment.
• Strong writing, presentation, and technical documentation skills.
• Willingness to travel 25–50%.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Collaborate with client security teams to translate use cases into engineering tasks and deliver production AI solutions.
• Own technical deliverables, estimate tasks, and communicate progress and risks to engagement leaders.
• Contribute to architecture, code reviews, and integration troubleshooting; work with model providers and researchers.
• Develop reusable components, evaluation suites, and delivery playbooks for client projects.

Skills

AI models

LLMs

RAG

Python

APIs

Git

CI/CD

Cloud

Security operations

Threat intel

Education

Bachelor’s degree in Cybersecurity/CS/IS/Engineering

Tools

Git

CI/CD

Containers

Kubernetes

Model Serving

AWS

Azure

GCP

SIEM integration

Job description

EY is seeking a Cyber AI Engineer to advance frontier AI in cybersecurity, working as a senior consultant on client engagements. You will deploy and evaluate AI workflows from prototype to production, collaborating with client security and engineering teams to ensure robust, secure deployments.

You will own technical deliverables, mentor teammates, and contribute to architecture, tooling, and demonstrations while traveling 25–50% as needed.