Cyber - AI Security - Senior - Consulting
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate etc.
We need to parse the posting.
Key parts:
Location: Anywhere in Country (maybe ignore). At EY, we’re all in to shape your future... (intro). The Opportunity paragraph.
Your Key Responsibilities: list.
Skills And Attributes For Success: list.
To Qualify for the Role, You Must Have: qualifications.
Ideally, You’ll Also Have: additional preferred qualifications.
What We Look For: maybe part of responsibilities? Could be omitted.
What We Offer You: includes benefits and salary range.
We need sections: About the role? Could be the intro paragraph after location? The "The Opportunity" maybe as About the role.
Responsibilities: "Your Key Responsibilities" list.
Requirements/Qualifications: "To Qualify for the Role, You Must Have" plus maybe "Ideally, You’ll Also Have" as preferred qualifications.
Skills: "Skills And Attributes For Success" maybe as Skills.
Benefits: "What We Offer You" includes benefits and salary.
Pay: salary range details.
Schedule: maybe travel percentage? Not schedule. There's no explicit schedule. Travel 25-50% maybe could be schedule? But schedule usually refers to work schedule (full-time, part-time). Not present. So we should not create Schedule section unless present. So omit.
We need to avoid filler like "commensurate with experience". Not present.
We need to preserve all substantive info.
We need to format lists with - . For prose use
.
We need headings
for each section.
We must not repeat job title as heading (not given). No Job ID.
We must not include boilerplate like EEO etc. Remove those at end.
Thus produce something like:
About the role
... The Opportunity paragraph ... maybe also intro paragraph before that? The location line maybe ignore. The first paragraph after location: "At EY, we’re all in to shape your future with confidence.... Join EY and help to build a better working world." Could be part of About the role. We'll combine.
Then
Responsibilities
with ul list of responsibilities.
Then Qualifications
with ul list of required qualifications (the "To Qualify for the Role, You Must Have").
Then Preferred Qualifications
maybe? But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They said use headings for those specific names. So we should map content to those headings. They said use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we must use exactly those heading names if we include section. Not "Preferred Qualifications". So we need to fit content into those categories.
Thus we need to decide which sections to include:
- About the role: intro + opportunity description.
- Responsibilities: Your Key Responsibilities.
- Requirements: maybe the mandatory qualifications (To Qualify...).
- Qualifications: maybe the ideal qualifications? But they'd be similar. Could split: Requirements = mandatory, Qualifications = preferred/additional. But they said prefer few substantive sections over many thin ones. Could combine Requirements and Qualifications into one? But they gave both as possible headings. We need to decide based on content.
We have mandatory qualifications: bachelor's degree + 3-5 years experience etc. Also list of experience areas.
Ideal qualifications: certifications, hands-on experience with AI-SPM platforms, etc.
We could put mandatory under Requirements, and ideal under Qualifications.
- Skills: Skills And Attributes For Success.
- Benefits: What We Offer You (benefits: medical/dental, pension/401k, PTO). Also maybe include travel? Travel is not benefit but schedule? Travel percentage maybe schedule? But schedule not present. Travel could be considered schedule? Not exactly. Probably we should not create Schedule.
- Pay: salary range details.
Thus we will have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay.
We must not include Schedule.
Now we need to extract content precisely, preserving all substantive info, no invention.
Let's extract.
About the role: combine location line? Location: Anywhere in Country (maybe ignore). Then "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." Then "The Opportunity Artificial Intelligence (AI) is rapidly transforming how organizations operate, and with that transformation comes an entirely new frontier of security, governance, and risk management challenges. Organizations are grappling with securing AI pipelines, managing model-level risks, operationalizing AI governance programs, and navigating an evolving regulatory landscape specific to AI technologies. As a Senior Consultant within EY’s Cyber practice focused on AI Security, you will work with clients to assess AI risk postures, architect AI security controls, and develop governance frameworks that enable organizations to adopt and scale AI responsibly and securely. This role offers the opportunity to combine hands-on technical implementation work with strategic advisory and architecture engagements across diverse industries."
We'll put that as About the role paragraph(s). Could be multiple
but we can combine into one
with line breaks? Better separate paragraphs for readability but still preserve info. We'll keep as separate
sentences.
Responsibilities: list bullet points from "Your Key Responsibilities". Let's extract each sentence as a bullet.
- Conduct AI security assessments, evaluate AI/ML pipelines and model infrastructure, identify vulnerabilities inherent to AI systems, and develop practical, prioritized remediation strategies.
- Architect and support the implementation of AI-SPM solutions, configure AI security tooling—including platforms and harnesses—and help clients operationalize continuous monitoring and governance controls across their AI workloads.
- Develop AI governance frameworks, policies, and standards aligned to emerging regulatory requirements and industry guidance.
- Assist clients in designing AI risk management programs, performing AI model risk assessments, and building AI security roadmaps that balance innovation with responsible AI principles.
- Prepare client deliverables, technical architecture documentation, and executive-level presentations that communicate complex AI security concepts to both technical and non-technical audiences.
- Collaborate with multidisciplinary teams to deliver high-quality work products, support project planning and management activities, mentor junior team members, and contribute to business development initiatives, thought leadership, and practice-building efforts within EY’s growing AI security capability.
We need to keep the exact phrasing.
Now Requirements (mandatory): "To Qualify for the Role, You Must Have A bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field, and approximately 3–5 years of relevant experience, including at least 1–2 years in AI or machine learning security; or a graduate degree and 2–4 years of relevant experience.Experience in one or more of the following areas:AI security assessments, AI-SPM, or AI model risk evaluationsAI/ML pipeline security, model security, and MLOps security practicesAI governance, responsible AI policy development, and AI risk management frameworksDevSecOps and CI/CD security, including hands-on experience with platforms and harnessesCloud security with specific experience securing AI workloads on platforms such as AWS, Azure, or GCPAI regulatory compliance and emerging AI-specific standards and guidanceCybersecurity architecture, risk management, and security controls designFamiliarity with AI security frameworks and guidance, including NIST AI RMF, OWASP Top 10 for LLMs, and MITRE ATLAS.Working knowledge of foundational cybersecurity frameworks—including NIST CSF, NIST 800-53, and ISO 27001/27002—as applied within AI-enabled environments.Strong Microsoft PowerPoint, Excel, and Word skills.Willingness to travel based on client and business needs; travel estimated at 25–50%."
We need to split into list items. The text is dense; we can separate by sentences or semicolons. Let's break logically:
- A bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field, and approximately 3–5 years of relevant experience, including at least 1–2 years in AI or machine learning security; or a graduate degree and 2–4 years of relevant experience.
- Experience in one or more of the following areas:
- AI security assessments, AI-SPM, or AI model risk evaluations
- AI/ML pipeline security, model security, and MLOps security practices
- AI governance, responsible AI policy development, and AI risk management frameworks
- DevSecOps and CI/CD security, including hands-on experience with platforms and harnesses
- Cloud security with specific experience securing AI workloads on platforms such as AWS, Azure, or GCP
- AI regulatory compliance and emerging AI-specific standards and guidance
- Cybersecurity architecture, risk management, and security controls design
- Familiarity with AI security frameworks and guidance, including NIST AI RMF, OWASP Top 10 for LLMs, and MITRE ATLAS
- Working knowledge of foundational cybersecurity frameworks—including NIST CSF, NIST 800-53, and ISO 27001/27002—as applied within AI-enabled environments
- Strong Microsoft PowerPoint, Excel, and Word skills
- Willingness to travel based on client and business needs; travel estimated at 25–50%
We need to preserve all info. We'll output as
- each bullet.
Now Qualifications (ideal): "Ideally, You’ll Also Have Professional certifications in cybersecurity (e.g., CISSP, CCSP, CISM) or emerging AI/ML security credentials.Hands-on experience with AI-SPM platforms, MLOps tooling, and AI security automation technologies.Experience with CI/CD orchestration and integrated security tooling, including harnesses, to enforce automated security gates within AI development pipelines.Knowledge of adversarial machine learning techniques, model explainability requirements, and AI supply chain risk management.Exposure to AI-related regulatory developments, including the EU AI Act, NIST AI RMF, and sector-specific AI guidance applicable to financial services, healthcare, or critical infrastructure.Experience facilitating client workshops, technical design sessions, and AI security architecture reviews.Background in software development, data engineering, or ML engineering that informs deep technical AI security expertise.Experience within a consulting, professional services, or advisory environment."
We'll split similarly.
Now Skills: "Skills And Attributes For Success Strong understanding of AI/ML systems, architectures, and deployment patterns, including large language models (LLMs), generative AI, and MLOps pipelines.Hands-on experience with AI Security Posture Management (AI-SPM) tools, platforms, and methodologies.Ability to identify and assess security risks specific to AI systems, including prompt injection, model poisoning, data exfiltration, supply chain vulnerabilities, and adversarial attacks.Experience configuring and operationalizing AI security and DevSecOps tooling, including platforms and harnesses, to enforce security controls within AI development and deployment pipelines.Knowledge of AI governance frameworks, responsible AI principles, and emerging AI-specific regulatory requirements.Strong critical thinking, analytical, and problem-solving skills applied to complex AI security and risk challenges.Ability to communicate technical AI security concepts effectively to both engineering teams and executive stakeholders.Experience developing technical architecture documentation, executive presentations, and client-facing deliverables.Strong verbal and written communication skills.Ability to manage competing priorities in a fast-paced consulting environment.Strong attention to detail and commitment to high-quality client service.Ability to build relationships and collaborate effectively across multidisciplinary teams and client organizations.Demonstrated initiative, adaptability, and a commitment to staying current with the rapidly evolving AI security landscape."
We'll split into list items.
Now Benefits: "What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional
. We need headings
for each section.
We must not repeat job title as heading (not given). No Job ID.
We must not include boilerplate like EEO etc. Remove those at end.
Thus produce something like:
About the role
... The Opportunity paragraph ... maybe also intro paragraph before that? The location line maybe ignore. The first paragraph after location: "At EY, we’re all in to shape your future with confidence.... Join EY and help to build a better working world." Could be part of About the role. We'll combine. Then
Responsibilities
with ul list of responsibilities. ThenQualifications
with ul list of required qualifications (the "To Qualify for the Role, You Must Have"). ThenPreferred Qualifications
maybe? But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They said use headings for those specific names. So we should map content to those headings. They said usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we must use exactly those heading names if we include section. Not "Preferred Qualifications". So we need to fit content into those categories. Thus we need to decide which sections to include: - About the role: intro + opportunity description. - Responsibilities: Your Key Responsibilities. - Requirements: maybe the mandatory qualifications (To Qualify...). - Qualifications: maybe the ideal qualifications? But they'd be similar. Could split: Requirements = mandatory, Qualifications = preferred/additional. But they said prefer few substantive sections over many thin ones. Could combine Requirements and Qualifications into one? But they gave both as possible headings. We need to decide based on content. We have mandatory qualifications: bachelor's degree + 3-5 years experience etc. Also list of experience areas. Ideal qualifications: certifications, hands-on experience with AI-SPM platforms, etc. We could put mandatory under Requirements, and ideal under Qualifications. - Skills: Skills And Attributes For Success. - Benefits: What We Offer You (benefits: medical/dental, pension/401k, PTO). Also maybe include travel? Travel is not benefit but schedule? Travel percentage maybe schedule? But schedule not present. Travel could be considered schedule? Not exactly. Probably we should not create Schedule. - Pay: salary range details. Thus we will have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. We must not include Schedule. Now we need to extract content precisely, preserving all substantive info, no invention. Let's extract. About the role: combine location line? Location: Anywhere in Country (maybe ignore). Then "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." Then "The Opportunity Artificial Intelligence (AI) is rapidly transforming how organizations operate, and with that transformation comes an entirely new frontier of security, governance, and risk management challenges. Organizations are grappling with securing AI pipelines, managing model-level risks, operationalizing AI governance programs, and navigating an evolving regulatory landscape specific to AI technologies. As a Senior Consultant within EY’s Cyber practice focused on AI Security, you will work with clients to assess AI risk postures, architect AI security controls, and develop governance frameworks that enable organizations to adopt and scale AI responsibly and securely. This role offers the opportunity to combine hands-on technical implementation work with strategic advisory and architecture engagements across diverse industries." We'll put that as About the role paragraph(s). Could be multiple
but we can combine into one
with line breaks? Better separate paragraphs for readability but still preserve info. We'll keep as separate
sentences. Responsibilities: list bullet points from "Your Key Responsibilities". Let's extract each sentence as a bullet. - Conduct AI security assessments, evaluate AI/ML pipelines and model infrastructure, identify vulnerabilities inherent to AI systems, and develop practical, prioritized remediation strategies. - Architect and support the implementation of AI-SPM solutions, configure AI security tooling—including platforms and harnesses—and help clients operationalize continuous monitoring and governance controls across their AI workloads. - Develop AI governance frameworks, policies, and standards aligned to emerging regulatory requirements and industry guidance. - Assist clients in designing AI risk management programs, performing AI model risk assessments, and building AI security roadmaps that balance innovation with responsible AI principles. - Prepare client deliverables, technical architecture documentation, and executive-level presentations that communicate complex AI security concepts to both technical and non-technical audiences. - Collaborate with multidisciplinary teams to deliver high-quality work products, support project planning and management activities, mentor junior team members, and contribute to business development initiatives, thought leadership, and practice-building efforts within EY’s growing AI security capability. We need to keep the exact phrasing. Now Requirements (mandatory): "To Qualify for the Role, You Must Have A bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field, and approximately 3–5 years of relevant experience, including at least 1–2 years in AI or machine learning security; or a graduate degree and 2–4 years of relevant experience.Experience in one or more of the following areas:AI security assessments, AI-SPM, or AI model risk evaluationsAI/ML pipeline security, model security, and MLOps security practicesAI governance, responsible AI policy development, and AI risk management frameworksDevSecOps and CI/CD security, including hands-on experience with platforms and harnessesCloud security with specific experience securing AI workloads on platforms such as AWS, Azure, or GCPAI regulatory compliance and emerging AI-specific standards and guidanceCybersecurity architecture, risk management, and security controls designFamiliarity with AI security frameworks and guidance, including NIST AI RMF, OWASP Top 10 for LLMs, and MITRE ATLAS.Working knowledge of foundational cybersecurity frameworks—including NIST CSF, NIST 800-53, and ISO 27001/27002—as applied within AI-enabled environments.Strong Microsoft PowerPoint, Excel, and Word skills.Willingness to travel based on client and business needs; travel estimated at 25–50%." We need to split into list items. The text is dense; we can separate by sentences or semicolons. Let's break logically: - A bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field, and approximately 3–5 years of relevant experience, including at least 1–2 years in AI or machine learning security; or a graduate degree and 2–4 years of relevant experience. - Experience in one or more of the following areas: - AI security assessments, AI-SPM, or AI model risk evaluations - AI/ML pipeline security, model security, and MLOps security practices - AI governance, responsible AI policy development, and AI risk management frameworks - DevSecOps and CI/CD security, including hands-on experience with platforms and harnesses - Cloud security with specific experience securing AI workloads on platforms such as AWS, Azure, or GCP - AI regulatory compliance and emerging AI-specific standards and guidance - Cybersecurity architecture, risk management, and security controls design - Familiarity with AI security frameworks and guidance, including NIST AI RMF, OWASP Top 10 for LLMs, and MITRE ATLAS - Working knowledge of foundational cybersecurity frameworks—including NIST CSF, NIST 800-53, and ISO 27001/27002—as applied within AI-enabled environments - Strong Microsoft PowerPoint, Excel, and Word skills - Willingness to travel based on client and business needs; travel estimated at 25–50% We need to preserve all info. We'll output as
- each bullet. Now Qualifications (ideal): "Ideally, You’ll Also Have Professional certifications in cybersecurity (e.g., CISSP, CCSP, CISM) or emerging AI/ML security credentials.Hands-on experience with AI-SPM platforms, MLOps tooling, and AI security automation technologies.Experience with CI/CD orchestration and integrated security tooling, including harnesses, to enforce automated security gates within AI development pipelines.Knowledge of adversarial machine learning techniques, model explainability requirements, and AI supply chain risk management.Exposure to AI-related regulatory developments, including the EU AI Act, NIST AI RMF, and sector-specific AI guidance applicable to financial services, healthcare, or critical infrastructure.Experience facilitating client workshops, technical design sessions, and AI security architecture reviews.Background in software development, data engineering, or ML engineering that informs deep technical AI security expertise.Experience within a consulting, professional services, or advisory environment." We'll split similarly. Now Skills: "Skills And Attributes For Success Strong understanding of AI/ML systems, architectures, and deployment patterns, including large language models (LLMs), generative AI, and MLOps pipelines.Hands-on experience with AI Security Posture Management (AI-SPM) tools, platforms, and methodologies.Ability to identify and assess security risks specific to AI systems, including prompt injection, model poisoning, data exfiltration, supply chain vulnerabilities, and adversarial attacks.Experience configuring and operationalizing AI security and DevSecOps tooling, including platforms and harnesses, to enforce security controls within AI development and deployment pipelines.Knowledge of AI governance frameworks, responsible AI principles, and emerging AI-specific regulatory requirements.Strong critical thinking, analytical, and problem-solving skills applied to complex AI security and risk challenges.Ability to communicate technical AI security concepts effectively to both engineering teams and executive stakeholders.Experience developing technical architecture documentation, executive presentations, and client-facing deliverables.Strong verbal and written communication skills.Ability to manage competing priorities in a fast-paced consulting environment.Strong attention to detail and commitment to high-quality client service.Ability to build relationships and collaborate effectively across multidisciplinary teams and client organizations.Demonstrated initiative, adaptability, and a commitment to staying current with the rapidly evolving AI security landscape." We'll split into list items. Now Benefits: "What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional