Cyber - AI Engineer - Manager - Consulting

EY•Hartford, DC

2d•$144,900 - $302,100•Remote

About The Position

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.

Requirements

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.
Experience in one or more of the following 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%.

Nice To Haves

Cybersecurity (e.g., 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 leading engineering workshops, live prototyping, architecture reviews, and executive demos.
Experience building cyber evaluation datasets, fine-tuning models, or contributing to open-source AI or security projects.
Forward-deployed engineering or consulting experience delivering production solutions and managing client relationships.

Responsibilities

Work 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.
Build evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost.
Own technical delivery, workstreams, timelines, and budgets while mentoring Senior Consultants and Consultants.
Stay hands-on through architecture, pair programming, code reviews, and integration troubleshooting.
Partner with frontier model providers and researchers to evaluate cyber capabilities and translate deployment findings into engineering requirements.
Support proposals, demonstrations, thought leadership, and account growth.
Develop reusable components, evaluation suites, and delivery playbooks.