Senior Cyber AI Engineer - Frontline AI Security

EY; Nashville (TN); Hybrid; USD 105,000 - 192,000; Full time

Job summary

EY is seeking a Cyber AI Engineer (Senior Consultant) to lead frontier AI and LLM-based cybersecurity solutions. You will deploy AI workflows with client teams, evaluate performance, and contribute to architecture and demonstrations.

Expect engagement leadership interaction, pair programming, and delivery playbooks. The role emphasizes production delivery, secure engineering practices, and travel to client sites as needed.

Qualifications

• Bachelor’s degree in Cybersecurity, CS, Information Systems, Engineering or related field with 3–5 years experience.
• Proficiency in Python, APIs, Git, automated testing, and production delivery.
• Experience deploying frontier AI models or LLM applications for cybersecurity.
• Experience building agents, model tool integrations, retrieval pipelines, and evaluation harnesses.
• Knowledge of DevSecOps, CI/CD, containers, and infrastructure‑as‑code for AI services.
• Understanding of prompt injection, data leakage, unsafe tool use, and OWASP Top 10 for LLMs.

Responsibilities

• Deploy AI workflows for threat investigation, detection, vulnerability analysis, and remediation support.
• Build evaluation datasets and test harnesses to measure accuracy, latency, and costs.
• Own assigned technical deliverables and communicate progress to engagement leaders.
• Contribute to architecture, code reviews, and integration troubleshooting with teams.
• Collaborate with model providers and researchers to test capabilities and document findings.
• Create technical demos, proposals, and reusable delivery playbooks.

Skills

Frontier AI

LLMs

Agentic architectures

Retrieval augmentation

Production AI apps

Client communication

Independent work

Troubleshooting

Education

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

Tools

Python

APIs

Git

CI/CD

Docker

Kubernetes

AWS

Azure

GCP

Job description

EY is seeking a Cyber AI Engineer (Senior Consultant) to lead frontier AI and LLM-based cybersecurity solutions. You will deploy AI workflows with client teams, evaluate performance, and contribute to architecture and demonstrations.

Expect engagement leadership interaction, pair programming, and delivery playbooks. The role emphasizes production delivery, secure engineering practices, and travel to client sites as needed.