EY’s Cyber practice is building practical pathways for real-world security outcomes with frontier AI. In this forward-deployed role, you will work alongside clients as a senior consultant and engineer, helping translate advanced cyber AI models into production-ready solutions that address investigation, detection, and vulnerability workflows.
Based in New York, NY with onsite work, you’ll take ownership of technical deliverables while coordinating with technical and engagement leaders to shape prototypes into reliable systems. The position is aligned to hands-on software engineering and applied AI work across the full delivery lifecycle.
Role Summary
As a Cyber AI Engineer (Senior Consultant), you will help clients apply frontier AI cyber models to real security challenges by building, evaluating, and deploying AI solutions from prototype to production.
Responsibilities
- Support clients in applying frontier AI cyber models to security challenges.
- Build, evaluate, and deploy AI solutions from prototype to production with guidance from technical and engagement leaders.
- Partner with client security and engineering teams to deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support.
- Use retrieval, tool calling, and structured outputs in AI workflows.
- Create evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost.
- Own assigned technical deliverables, estimate tasks, and communicate progress and risks to engagement leaders.
- Contribute to architecture, pair programming, code reviews, and integration troubleshooting while supporting Consultants.
- Work with model providers and researchers to test cyber capabilities and document deployment findings.
- Contribute to technical demonstrations, proposals, and reusable components such as evaluation suites and delivery playbooks.
Requirements
- Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field and 3–5 years of relevant experience, including hands-on software engineering and experience building or deploying AI/ML solutions.
- 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.
- Experience in security operations, threat investigation, detection engineering, or incident response automation.
- Experience with DevSecOps, CI/CD, containers, and infrastructure-as-code for AI services.
- Experience with cloud engineering and secure AI deployment on AWS, Azure, or GCP.
- Experience with API integration with SIEM, SOAR, EDR, vulnerability management, or code security platforms.
- Experience in 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 contributing to 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%.
Technologies
- Python, APIs, Git
- Automated testing
- DevSecOps, CI/CD
- Containers, infrastructure-as-code
- AWS, Azure, GCP
- SIEM, SOAR, EDR
- OWASP Top 10 for LLMs, MITRE ATLAS
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
Salary
The yearly salary range for this role is USD 104,800 - 209,700, with location-specific ranges across New York City, Boston, Washington DC Metro Areas, Washington State, and Southern California, as well as Bay Area and other US office locations.
Additional Application Notes
- Please limit applications to two within a six-month period to optimize the application experience.
- EY accepts applications for this position on an ongoing basis.
- For those living in California, additional information is available via EY’s link.
- Any misrepresentation, falsification, or lack of integrity during recruiting may result in withdrawal of candidacy, revocation of an offer, or termination of employment.
EY’s values shape how the organization works and the behaviors expected within the Cyber AI practice.
