Cyber - AI Engineer - Manager - Consulting

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward‑deployed engineer, helping clients apply frontier AI cyber models to real security challenges. You will combine hands‑on engineering with delivery leadership to build, evaluate, and deploy AI solutions—from prototype to production.

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, work streams, 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.

• Deep understanding of frontier AI models, LLMs, agentic architectures, and retrieval‑augmented generation for cybersecurity.

• Ability to align Senior Managers, Partners, and client executives on use cases, scope, and engineering requirements.

• Strong software engineering skills to build, test, debug, and deploy production AI applications.

• Experience building model integrations, tool‑calling agents, evaluation harnesses, and secure security‑platform connections.

• Ability to deliver maintainable solutions on time and within budget, with clear acceptance criteria and documentation.

• Strong troubleshooting skills across cyber workflows, model behavior, data quality, and production issues.

• Ability to explain model behavior, evaluation results, and security trade‑offs to technical and executive audiences.

• Strong client discovery, demonstration, stakeholder management, and collaboration skills.

• Experience developing engineering teams while remaining hands‑on and accountable for quality.

• Commitment to secure engineering, experimentation, and emerging AI cyber capabilities.

• A 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

• Dev Sec Ops , 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…