Cyber - AI Engineer - Manager - Consulting
About the role
...
Responsibilities
- ... ...
Requirements
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maybe list? The requirements are a paragraph with multiple sentences; could bebut we could also break into
- if list. The instruction: Use
- for any list of duties/requirements/benefits. So if we have a list of requirements, we should use list. The requirements are not a bullet list but a paragraph with multiple conditions; we could still treat as list? Might be better to keep as
because it's not a list. The instruction says use
- for any list of duties/requirements/benefits. If it's not a list, we can use
. So we can use
. Similarly for Qualifications (Ideally, You'll Also Have) we can make a list. Skills: list. Benefits: list? The benefits are medical and dental coverage, pension and 401(k) plans, wide range of paid time off options. Could be list. Pay: we can present as
with salary ranges. We must not include any filler like "commensurate with experience". Not present. Now we need to extract exact text. Let's copy relevant sections. About the role: From posting: "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 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." We should keep that exactly, maybe remove "Location: Anywhere in Country" as it's location metadata; but location is not a heading; we could keep it as part of About the role paragraph. It's fine. Responsibilities: "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 Manager, you will own technical delivery, workstreams, timelines, and budgets while mentoring Senior Consultants and Consultants. You will stay hands-on through architecture, pair programming, code reviews, and integration troubleshooting. You will partner with frontier model providers and researchers to evaluate cyber capabilities and translate deployment findings into engineering requirements. You will also support proposals, demonstrations, thought leadership, and account growth, and develop reusable components, evaluation suites, and delivery playbooks." We can break into list items each sentence? Could be multiple
- . We'll produce list.
Requirements:
"To Qualify for the Role, You Must Have 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, plus experience in one or more of these areas:Deploying frontier AI models or LLM applications for cybersecurityBuilding agents, model tool integrations, retrieval pipelines, and evaluation harnessesSecurity operations, threat investigation, detection engineering, or incident response automationDevSecOps, CI/CD, containers, and infrastructure-as-code for AI servicesCloud engineering and secure AI deployment on AWS, Azure, or GCPAPI integration with SIEM, SOAR, EDR, vulnerability management, or code security platformsApplication security, vulnerability analysis, secure code review, or automated remediationUnderstanding 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%."
We need to keep the content exactly but maybe add spaces after periods for readability. We'll keep as paragraph.
Qualifications (Ideally, You'll Also Have):
"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 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."
We'll make list.
Skills And Attributes For Success:
"Deep understanding of frontier AI models, LLMs, agentic architectures, and retrieval-augmented generation for cybersecurity.Ability to align Senior Managers, Partners, and client executives on use cases, scope, and engineering requirements.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 on time and within budget, with clear acceptance criteria 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 technical and executive audiences.Strong client discovery, demonstration, stakeholder management, and collaboration skills.Experience developing engineering teams while remaining hands-on and accountable for quality.Commitment to secure engineering, experimentation, and emerging AI cyber capabilities."
We'll make list.
Benefits:
"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. 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."
We need to keep substantive info: medical and dental coverage, pension and 401(k) plans, wide range of paid time off options. Also maybe mention professional growth, personal fulfillment, inclusive culture. We'll keep as list.
Pay:
"The salary range for this job is:New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $173,900 to $290,100Bay Area California offices – $181,200 to $302,100All other offices locations in the US, including Sacramento – $144,900 to $265,800Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography."
We'll keep as paragraph.
We must not include application instructions like "Are you ready to shape your future with confidence? Apply today." etc. Also remove EEO statements etc.
Now produce HTML.
We need to ensure we don't duplicate content. Also ensure we don't include headings for sections that have no content.
We'll output:
About the role
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 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.
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 Manager, you will own technical delivery, workstre
- for any list of duties/requirements/benefits. If it's not a list, we can use