Senior Cyber AI Engineer – Frontier AI for Security

Ernst & Young Oman; San Jose (CA); On-site; USD 131,000 - 219,000; Full time

Job summary

EY in the United States seeks a Cyber AI Engineer at the Senior Consultant level to apply frontier AI cyber 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, collaborate with client teams on engineering tasks, and contribute to architecture, demonstrations, and reusable components while advancing secure AI operations.

Qualifications

• Bachelor's degree and 3–5 years of hands-on software engineering and AI/ML deployment experience.
• Proficiency in Python, APIs, Git, automated testing, and production delivery; cloud & security experience preferred.
• Deploying frontier AI models or LLM applications for cybersecurity; building agents and tool integrations.

Responsibilities

• Deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
• Own assigned technical deliverables, estimate tasks, and report progress to engagement leaders.
• Contribute to architecture reviews, code reviews, demos, and reusable components.

Skills

frontier AI models

LLMs

agentic architectures

retrieval-augmented generation

software engineering

model integrations

tool-calling agents

evaluation harnesses

production deployment

security workflows

client communication

Education

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

Tools

Python

APIs

Git

CI/CD

containers

infrastructure-as-code

AWS

Azure

GCP

SIEM

SOAR

EDR

Job description

EY in the United States seeks a Cyber AI Engineer at the Senior Consultant level to apply frontier AI cyber 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, collaborate with client teams on engineering tasks, and contribute to architecture, demonstrations, and reusable components while advancing secure AI operations.