Cyber - AI Engineer - Senior - Consulting

EY•Hartford, DC

2d•$104,800 - $218,500•Remote

About The Position

As a Cyber AI Engineer at the Senior Consultant 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 build, evaluate, and deploy AI solutions—from prototype to production—with guidance from technical and engagement leaders.

Requirements

A bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a 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.
Cloud engineering and secure AI deployment on AWS, Azure, or GCP.
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%.

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 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.

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 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, evaluation suites, and delivery playbooks.