Cyber - AI Engineer - Senior - Consulting

In EY’s Cyber practice, this role supports clients as a forward-deployed engineer, helping teams translate frontier AI cyber capabilities into practical security outcomes. You’ll build, evaluate, and deploy AI solutions that move from prototype through production while partnering with technical and engagement leadership.

This senior consulting position is based in New York, NY (onsite) and focuses on applying advanced AI workflows to areas such as threat investigation, detection engineering, and vulnerability analysis.

Role Focus

• Help clients apply frontier AI cyber models to real security challenges.
• Build, evaluate, and deploy AI solutions from prototype to production with guidance from technical and engagement leaders.
• Collaborate 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.

Technical Responsibilities

• Develop evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost.
• Own assigned technical deliverables, including task estimation and clear communication of 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.
• Support technical demonstrations, proposals, and reusable assets such as evaluation suites and delivery playbooks.

Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or related field, plus 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 applying frontier AI models or LLM applications to cybersecurity.
• Experience with 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 integrating APIs with SIEM, SOAR, EDR, vulnerability management, or code security platforms.
• Experience with 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

Additional Qualifications (Ideally)

• Cybersecurity (for example, CISSP, CCSP), cloud, engineering, or AI/ML certifications.
• Experience with frontier model providers or cyber-focused model selection, adaptation, and evaluation.
• Experience with agent orchestration, model serving, LLM observability, and CI/CD evaluation gates.
• Knowledge of adversarial testing, AI red teaming, sandboxing, and safeguards for authorized dual-use cyber work.
• Experience with data residency, privacy, model access, and deployment in regulated or restricted environments.
• Experience contributing to engineering workshops, live prototyping, architecture reviews, and client demos.
• Experience building cyber evaluation datasets, fine-tuning models, or contributing to open-source AI or security projects.
• Forward-deployed engineering or consulting experience supporting production deployments and client teams.

Salary and Location Details

• Salary range listed for USD 104,800 - 209,700 per year.
• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices: $125,800 to $209,700
• Bay Area California offices: $131,100 to $218,500
• All other US offices (including Sacramento): $104,800 to $192,200
• Individual salaries are determined based on factors including education, experience, knowledge, skills, and geography.

How to Apply

• Please limit applications to two within a six-month period to make the most of your application experience.
• EY accepts applications for this position on an ongoing basis.
• For those living in California, additional information is available via a provided link.
• EY notes that misrepresentation, falsification, or lack of integrity during the recruiting process may result in withdrawal of candidacy, revocation of an offer, or termination of employment.