Cyber AI Engineer Manager — Frontier AI Security Delivery

Ernst & Young Oman

Indianapolis (IN)

On-site

USD 145,000 - 290,000

Full time

14 days+
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Job summary

EY in the United States is seeking a Cyber AI Engineer at the Manager level to lead the delivery of frontier AI cyber models, working with client security teams to deploy AI workflows from prototype to production. You will oversee threat investigation, detection engineering, and remediation support, while delivering scalable, secure AI solutions.

You will mentor Senior Consultants, stay hands‑on with architecture and reviews, and collaborate with frontier model providers to translate deployment

Qualifications

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field and 5+ years of relevant experience; or a graduate degree and 4+ years. Experience must include hands‑on software engineering and at least 1–2 years building or deploying AI/ML solutions.
  • Proficiency in Python, APIs, Git, automated testing, and production delivery, plus experience in one or more of these areas:
  • Deploying frontier AI models or LLM applications for cybersecurity
  • Building agents, model 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, or GCP
  • API integration with SIEM, SOAR, EDR, vulnerability management, or code security platforms
  • Application security, vulnerability analysis, secure code review, or automated remediation
  • Understanding of prompt injection, data leakage, unsafe tool use, and safeguards informed by OWASP Top 10 for LLMs and MITRE ATLAS.
  • Working knowledge of security architecture, identity and access management, data protection, and secure AI operations.
  • Experience leading client‑facing delivery or cross‑functional engineering from requirements through deployment and handover.
  • Strong writing, presentation, and technical documentation skills.
  • Willingness to travel based on client and business needs; estimated at 25–50%.

Responsibilities

  • As a Cyber AI Engineer, you will work with client security and engineering teams to deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
  • You will use retrieval, tool calling, and structured outputs, and build evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost.
  • As a Manager, you will own technical delivery, workstreams, timelines, and budgets while mentoring Senior Consultants and Consultants.
  • You will stay hands‑on through architecture, pair programming, code reviews, and integration troubleshooting.
  • You will partner with frontier model providers and researchers to evaluate cyber capabilities and translate deployment findings into engineering requirements.
  • You will also support proposals, demonstrations, thought leadership, and account growth, and develop reusable components, evaluation suites, and delivery playbooks.

Skills

Frontier AI models
LLMs
Retrieval augmented generation
Cybersecurity
Engineering leadership
Client communication
Production AI deployments
Tool integrations
Threat investigation knowledge
Cloud deployment

Education

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

Tools

Python
APIs
Git
CI/CD
Containers
Infrastructure as Code
AWS
Azure
GCP
Security tooling integrations

Job description

EY in the United States is seeking a Cyber AI Engineer at the Manager level to lead the delivery of frontier AI cyber models, working with client security teams to deploy AI workflows from prototype to production. You will oversee threat investigation, detection engineering, and remediation support, while delivering scalable, secure AI solutions.

You will mentor Senior Consultants, stay hands‑on with architecture and reviews, and collaborate with frontier model providers to translate deployment

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