AI Security Engineer Manager
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real content. We need to parse the posting. Key parts: - Intro: "As a Manager in AI Security Engineering, you will play a critical role..." That's about the role. - "Recruiting for this role ends on 9/19/2026." That's metadata; we can fold into short
maybe. - "Work you'll do" then description. - "Key Responsibilities" then list. - "Impact" maybe part of role. - "The successful candidate would possess these skills" then list of skills. - "The team" description. - "Cyber Security" subteam description. - "Qualifications Required:" then list. - "Preferred:" then list. - "The wage range for this role..." Pay info. - Also mention discretionary annual incentive program. - "EA_ExpHire RITM10427821" maybe job ID; drop. We need to avoid boilerplate: cookie/navigation/legal/EEO etc. Not present. We need to preserve all substantive info. We need to decide sections: - About the role: combine intro and maybe "Work you'll do" and "Impact" and "The team" maybe? But we can have separate sections: About the role (intro + work you'll do), Responsibilities (Key Responsibilities), Requirements (maybe Qualifications Required), Skills (the successful candidate would possess these skills), Benefits? Not mentioned besides discretionary annual incentive program; maybe we can include Benefits section if there is mention of incentive program. The posting mentions "You may also be eligible to participate in a discretionary annual incentive program". That's a benefit. So we can include Benefits section with that. - Pay: wage range $118,700 to $243,700. Also mention not typical to be hired at top etc. We'll include Pay section with that info. - Schedule: not mentioned. So omit. - Qualifications: we have Required and Preferred. Could combine into Qualifications section. - Skills: we have list of skills (Ability to work independently...). Could be Skills section. We need to avoid repeating job title as heading. We need to use
for each section heading.
We need to use - for any list of duties/requirements/benefits.
We need to use
for prose.
We must not include headings with filler.
Let's extract content.
About the role prose:
"As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation."
Recruiting end date: "Recruiting for this role ends on 9/19/2026." Could be short p.
Work you'll do: "You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations."
Impact: "This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance."
The team: "The team Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in DT - US deliver services including: Cyber SecurityTechnology SupportTechnology & InfrastructureApplicationsRelationship ManagementStrategy & CommunicationsProject ManagementFinancials Cyber Security Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand. Areas of focus include: Risk & ComplianceIdentity & Access ManagementData ProtectionCyber DesignIncident ResponseSecurity ArchitectureBusiness Partnership"
We could keep that as prose.
Responsibilities list: Under "Key Responsibilities" there are bullet-like paragraphs each starting with a bold heading? Actually they are headings: Secure, Outcome-Driven Delivery; Hands-On AI Security Engineering; AI Risk Identification and Mitigation; Technical Leadership and Advocacy; Engineering Excellence with Security Focus; Iterative and Responsible Innovation; Cross-Functional Collaboration; Standards and Best Practices; Communication and Influence.
Each has description after colon? Let's extract:
- Secure, Outcome-Driven Delivery: "Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems."
- Hands-On AI Security Engineering: "Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time."
- AI Risk Identification and Mitigation: "Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness."
- Technical Leadership and Advocacy: "Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives."
- Engineering Excellence with Security Focus: "Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams."
- Iterative and Responsible Innovation: "Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices."
- Cross-Functional Collaboration: "Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making."
- Standards and Best Practices: "Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines."
- Communication and Influence: "Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making."
We'll make each as
- .
Requirements: maybe combine Qualifications Required and Preferred? But we have separate sections: Qualifications (Required) and Preferred. Could put both under Qualifications section with subheadings? But we only allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can put Required under Qualifications, Preferred under Skills? Or we could put Required under Qualifications, Preferred under Skills (since they are skills/experience). However the "Successful candidate would possess these skills" list is separate soft skills. That could be Skills section.
Thus:
- Qualifications: Required qualifications (Bachelor's degree, 6 years experience, 1 year people/process management). Also maybe include Preferred qualifications as part of Qualifications? But we have separate Skills section for soft skills. The Preferred list includes technical skills: Strong understanding of AI/GenAI, experience building/securing applications using Python/JavaScript, familiarity with secure dev practices, experience with cloud platforms, knowledge of data protection, ability to work across teams, mentor engineers, strong communication skills. Those are more like qualifications/skills. Could put them under Qualifications as well, but we already have Skills section for soft skills. Might be okay to put Preferred under Qualifications as additional qualifications.
But we must not invent sections; we can have Qualifications section containing both Required and Preferred as lists.
Skills section: list of soft skills: Ability to work independently and collaborate as part of a team, Effective written and verbal communication skills, Meticulous attention to detail and quality of work product, Ability to build and sustain professional relationships, Ability to lead projects or workstreams, Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment, Strong interpersonal skills and professional demeanor, Ability to meet deadlines, Ability to mentor and provide clear guidance to others.
Benefits: discretionary annual incentive program.
Pay: wage range $118,700 to $243,700, plus note about not typical to be hired at top, compensation decisions dependent.
We should not include boilerplate like "EA_ExpHire RITM10427821". Drop.
Now produce HTML.
Structure:
About the role
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.
Recruiting for this role ends on 9/19/2026.
You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.
This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.
The team Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in DT - US deliver services including: Cyber Security, Technology Support, Technology & Infrastructure, Applications, Relationship Management, Strategy & Communications, Project Management, Financials. Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand. Areas of focus include: Risk & Compliance, Identity & Access Management, Data Protection, Cyber Design, Incident Response, Security Architecture, Business Partnership.
Responsibilities
- Secure, Outcome-Driven Delivery: Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.
- Hands-On AI Security Engineering: Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.
- AI Risk Identification and Mitigation: Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.
- Technical Leadership and Advocacy: Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.
- Engineering Excellence with Security Focus: Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.
- Iterative and Responsible Innovation: Support rapid experimentation while
for prose. We must not include headings with filler. Let's extract content. About the role prose: "As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation." Recruiting end date: "Recruiting for this role ends on 9/19/2026." Could be short p. Work you'll do: "You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations." Impact: "This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance." The team: "The team Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in DT - US deliver services including: Cyber SecurityTechnology SupportTechnology & InfrastructureApplicationsRelationship ManagementStrategy & CommunicationsProject ManagementFinancials Cyber Security Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand. Areas of focus include: Risk & ComplianceIdentity & Access ManagementData ProtectionCyber DesignIncident ResponseSecurity ArchitectureBusiness Partnership" We could keep that as prose. Responsibilities list: Under "Key Responsibilities" there are bullet-like paragraphs each starting with a bold heading? Actually they are headings: Secure, Outcome-Driven Delivery; Hands-On AI Security Engineering; AI Risk Identification and Mitigation; Technical Leadership and Advocacy; Engineering Excellence with Security Focus; Iterative and Responsible Innovation; Cross-Functional Collaboration; Standards and Best Practices; Communication and Influence. Each has description after colon? Let's extract: - Secure, Outcome-Driven Delivery: "Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems." - Hands-On AI Security Engineering: "Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time." - AI Risk Identification and Mitigation: "Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness." - Technical Leadership and Advocacy: "Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives." - Engineering Excellence with Security Focus: "Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams." - Iterative and Responsible Innovation: "Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices." - Cross-Functional Collaboration: "Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making." - Standards and Best Practices: "Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines." - Communication and Influence: "Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making." We'll make each as
About the role
As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.
Recruiting for this role ends on 9/19/2026.
You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.
This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.
The team Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in DT - US deliver services including: Cyber Security, Technology Support, Technology & Infrastructure, Applications, Relationship Management, Strategy & Communications, Project Management, Financials. Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand. Areas of focus include: Risk & Compliance, Identity & Access Management, Data Protection, Cyber Design, Incident Response, Security Architecture, Business Partnership.
Responsibilities
- Secure, Outcome-Driven Delivery: Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.
- Hands-On AI Security Engineering: Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.
- AI Risk Identification and Mitigation: Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.
- Technical Leadership and Advocacy: Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.
- Engineering Excellence with Security Focus: Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.
- Iterative and Responsible Innovation: Support rapid experimentation while