Job description

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. The Opportunity 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. Your Key Responsibilities 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 Senior Consultant, you will own assigned technical deliverables, estimate tasks, and communicate progress and risks to engagement leaders. You will contribute to architecture, pair programming, code reviews, and integration troubleshooting while supporting Consultants. You will work with model providers and researchers to test cyber capabilities and document deployment findings. You will also contribute to technical demonstrations, proposals, and reusable components, evaluation suites, and delivery playbooks. Skills and Attributes for Success • Practical understanding of frontier AI models, LLMs, agentic architectures, and retrieval-augmented generation for cybersecurity. • Ability to work with engagement leaders and client teams to translate use cases into engineering tasks. • 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 against agreed requirements and deadlines, with clear tests 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 engineers and client stakeholders. • Strong collaboration, requirements gathering, technical demonstration, and client communication skills. • Ability to work independently on assigned tasks, seek guidance when needed, and support junior team members. • Commitment to secure engineering, experimentation, and emerging AI cyber capabilities. To Qualify for the Role, You Must Have • 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, 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 • 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 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%. Ideally, You'll Also Have • 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. What We Look For We seek hands-on engineers who pair cybersecurity knowledge with practical AI skills. You can build with client teams, improve solutions through testing, and balance model capability with safety and reliability. You bring curiosity, sound judgment, and accountability for your work while growing your technical and consulting skills within EY's Cyber AI practice. What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers . • The salary range for this job is: • 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 offices locations in the US, including Sacramento – $104,800 to $192,200 • Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Are you ready to shape your future with confidence? Apply today. • To make the most of your application experience, please limit yourself to two applications within a six-month period. • EY accepts applications for this position on an on-going basis. • For those living in California, please click here for additional information. • At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Requirements

Must-haves

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.
Your Key Responsibilities
Skills and Attributes for Success
Practical understanding of frontier AI models, LLMs, agentic architectures, and retrieval-augmented generation for cybersecurity.
Ability to work with engagement leaders and client teams to translate use cases into engineering tasks.
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 against agreed requirements and deadlines, with clear tests 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 engineers and client stakeholders.
Strong collaboration, requirements gathering, technical demonstration, and client communication skills.
Ability to work independently on assigned tasks, seek guidance when needed, and support junior team members.
Commitment to secure engineering, experimentation, and emerging AI cyber capabilities.
To Qualify for the Role, You Must Have
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
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

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goaimlpythonllmci/cdawsazuregcpapi

Platform: successfactors
Effort: medium

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Dental

401(K)

Paid Time Off