Cyber - AI Engineer - Senior - Consulting

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, legal, EEO, duplicated lines, application instructions. Preserve all substantive info. We need to parse the job posting. Key parts: Location: Anywhere in Country (maybe ignore). At EY, we’re all in to shape your future with confidence... (intro). 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: list. Skills And Attributes For Success: list. To Qualify for the Role, You Must Have: list. Ideally, You'll Also Have: list. What We Look For: paragraph. What We Offer You At EY: includes benefits and salary ranges. We need sections: About the role (maybe from The Opportunity). Responsibilities (Your Key Responsibilities). Requirements (To Qualify for the Role, You Must Have). Qualifications (maybe combine with Requirements? But we can have Qualifications as separate if there is content like ideally also have). Skills (Skills And Attributes For Success). Benefits (What We Offer You At EY includes benefits). Pay (salary ranges). Schedule (maybe travel willingness 25-50% travel). That could be schedule. We must not include sections with filler like "commensurate with experience". Not present. We need to ensure we don't repeat job title as heading. The page already shows it, so we don't output a heading for job title. We need to output only HTML fragment, no /, no markdown fences. We need to use

for section headings. Use

• for any list of duties/requirements/benefits, and

  for prose. We need to preserve all substantive information; do not invent or summarize away detail. We need to remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Thus we need to strip out things like: "Learn more at ey.com/us/careers." maybe that's okay as part of What We Offer? It's a link but we can keep as prose? It's not boilerplate? Might be considered navigation? It's a link to careers page; maybe we keep as it's part of the offer description. But we can keep. Also "Are you ready to shape your future with confidence? Apply today." That's application instruction; should be removed. "To make the most of your application experience, please limit yourself to two applications within a six-month period." remove. "EY accepts applications for this position on an on-going basis." remove. "For those living in California, please click here for additional information." remove. "At EY, our values set the foundation..." that's values boilerplate maybe remove? It's not specifically about the job; could be considered boilerplate. Probably remove. "Any misrepresentation or falsification..." remove. "EY | Building a better working world" etc. remove. "EY is building a better working world..." remove. "EY provides equal employment opportunities..." remove. "EY is committed to providing reasonable accommodation..." remove. Thus we keep only substantive content: intro paragraph about EY shaping future, The Opportunity paragraph, Responsibilities list, Skills And Attributes list, To Qualify list, Ideally Also Have list, What We Look For paragraph, What We Offer paragraph (including benefits and salary ranges), maybe travel willingness. We need to decide sections: - About the role: could combine The Opportunity and maybe intro? The Opportunity describes role. We'll put that as About the role. - Responsibilities: Your Key Responsibilities. - Requirements: To Qualify for the Role, You Must Have. - Qualifications: Ideally, You'll Also Have (maybe call it Preferred Qualifications). But the instruction says use headings like Qualifications, Skills, Benefits, Pay, Schedule. So we can have Qualifications for the "Ideally, You'll Also Have". Skills for Skills And Attributes For Success. - Benefits: What We Offer You At EY (benefits like medical/dental, pension/401k, paid time off). Also maybe include professional growth etc. - Pay: salary ranges. - Schedule: travel willingness (25-50%). Could also include location "Anywhere in Country". But schedule heading only if we have schedule info. We have travel percentage. We need to ensure we don't create sections with filler. All have content. Now we need to extract lists precisely. Let's extract: About the role (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." We could also include the earlier intro sentences: "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." That's generic but maybe considered substantive? It's about EY culture. Could be part of About the role. However it's somewhat boilerplate but still specific to EY. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. This intro is not those; it's about EY's mission. Might be okay to keep. But we need to avoid duplication. We'll include it as part of About the role. Thus About the role paragraph: combine those sentences. Now Responsibilities list: From "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." We need to break into list items. Each sentence could be a list item. But we need to preserve all substantive information; we can split into multiple

• items each covering a distinct responsibility. Let's parse: - 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, and build evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost. - As a Senior Consultant, 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. That seems comprehensive. Now Skills And Attributes For Success list: From "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." We need to split into list items. Each phrase separated by period. Let's extract: - 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. Now Requirements (To Qualify for the Role, You Must Have): Paragraph: "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 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 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%." We need to split into list items. However some items are grouped under "plus experience in one or more of these areas:" then a list of areas without commas but concatenated. We need to parse them. Let's rewrite as list: - 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 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 -