Cyber - AI Engineer - Manager - Consulting

We need to output HTML fragment with sections: About the role? The posting includes "Location: Anywhere in Country" then intro paragraphs. We need to use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. We need to parse the posting. Content: - Location: Anywhere in Country (metadata, can be short p) - Intro paragraphs: "At EY, we’re all in to shape your future with confidence..." etc. That's about the role? Could be "About the role" or "About EY". The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have About the role. - "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." That's also about role. - "Your Key Responsibilities" then bullet list (actually sentences). We'll put under Responsibilities with

• . - "Skills And Attributes For Success" list of bullet-like sentences. That's Skills. - "To Qualify for the Role, You Must Have" then qualifications (education, experience). That's Qualifications. - "Ideally, You'll Also Have" list of additional preferred qualifications. Could be part of Qualifications or separate? Probably still Qualifications (preferred). We'll include under Qualifications. - "What We Look For" maybe could be part of About the role or Skills? It's more about desired traits. Could be part of Skills? But we already have Skills. Could treat as part of About the role? Might be better to include as a separate section? The allowed headings list does not include "What We Look For". So we should incorporate that content into existing sections, maybe Skills or About the role. Since it's about desired traits, we could put under Skills (maybe as additional bullet). But we must not invent sections. We'll incorporate into Skills or maybe under About the role as prose. - "What We Offer You At EY, we harness our collective strength..." includes benefits description. That's Benefits. - Then salary range details: Pay. - Then "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." That's also Benefits. - Then "Are you ready to shape your future with confidence? Apply today." etc. That's application instructions, boilerplate, we should remove. - Then legal/EEO etc. Remove. Thus we need sections: About the role, Responsibilities, Skills, Qualifications, Benefits, Pay. Possibly Schedule? No schedule info. So omit. We need to preserve all substantive information, not invent or summarize away detail. Must not omit any substantive info. So we need to include all details from the posting except boilerplate. Let's extract substantive content: Location: Anywhere in Country (maybe we keep as a short p). Intro paragraphs: "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 can combine into About the role section. Responsibilities: The bullet list after "Your Key Responsibilities". Let's extract each sentence as a list item. Sentences: - "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." That's all. Skills And Attributes For Success: list of bullet-like sentences (each ends with period). Let's extract each as list item under Skills. Sentences: - "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." Also maybe "Ability to align Senior Managers..." etc. Qualifications: "To Qualify for the Role, You Must Have" paragraph plus list. Paragraph: "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." Then list of proficiency areas: "Proficiency in Python, APIs, Git, automated testing, and production delivery, plus experience in one or more of these areas:" Then bullet list (actually comma-separated but we can treat each as list item). Let's split: - "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%." Then "Ideally, You'll Also Have" list: - "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 can include these as part of Qualifications (preferred). Could also be separate but we only have Qualifications heading. We'll include all under Qualifications, maybe separate subheadings? Not allowed. We'll just list as
  • items. What We Look For: paragraph: "We seek hands-on engineers who pair cybersecurity expertise with practical AI delivery. You can build with client teams, improve solutions through testing, and balance model capability with safety and reliability. You bring the leadership to develop teams, own delivery, and build client trust while growing EY's Cyber AI engineering practice." We can incorporate into About the role or Skills. Probably About the role as it's about desired traits. We'll add as a paragraph under About the role. 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." Then later: "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'll combine into Benefits section with two paragraphs or list. Pay: Salary range details: "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 $290,100 Bay Area California offices – $181,200 to $302,100 All other offices locations in the US, including Sacramento – $144,900 to $265,800 Individual 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 put that as a paragraph under Pay. Schedule: none. We must not include boilerplate like "Are you ready to shape your future with confidence? Apply today." etc. Also remove EEO etc. We must not repeat job title as heading. We must not include Job ID/requisition numbers. We must output only HTML fragment. Let's craft. Structure:

    Location: Anywhere in Country

    About the role

    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 seek hands-on engineers who pair cybersecurity expertise with practical AI delivery. You can build with client teams, improve solutions through testing, and balance model capability with safety and reliability. You bring the leadership to develop teams, own delivery, and build client trust while growing EY's Cyber AI engineering practice.

    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.