Senior Level AI Security Engineer Jobs
Senior level ai security engineer jobs place experienced professionals in charge of threat architecture, security program direction, and the cross-functional teams that operationalize it. Roles are 23% remote or hybrid, concentrated in Technology & Software, Banking & Financial Services, and Investment & Asset Management, with employers like Deloitte, Kyndryl, and Radware hiring at this level now.
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Showing 5 of 29+ Senior Level AI Security Engineer jobs
INTRODUCTION
As a Manager: AI Data Security in Deloitte's Cyber for AI team, you will lead client engagements that secure how enterprise data is ingested, transformed, retrieved, and used by RAG and agentic systems. You will translate business and risk objectives into target architecture, remain directly involved in critical design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets.
Recruiting for this role ends on 05/31/2027.
WORK YOU'LL DO
As a Manager: AI Data Security, you will be responsible for:
- Leading AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems.
- Translating data use cases and risk requirements into target architectures spanning sources, pipelines, vector stores, retrieval, context, outputs, and memory.
- Remaining directly involved in design reviews, entitlement and metadata decisions, critical pipeline and policy reviews, and resolution of high-risk technical issues.
- Managing engagement scope, teams, milestones, quality, and client expectations while maintaining a clear path from design to production adoption.
- Coordinating data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams.
- Shaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans.
- Developing reusable secure RAG patterns, validation tooling, and delivery methods.
- Coaching practitioners on engineering quality.
THE TEAM
Deloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk.
Within the team, our Data capability focuses on how enterprise data is discovered, classified, retrieved, transformed, and protected across RAG pipelines, vector stores, model context, and agent memory.
QUALIFICATIONS
6+ years of combined cybersecurity and AI architecture & engineering experience, including leading production generative AI or agentic implementations across models, orchestration, identity, data, and infrastructure.
Required Experience:
- Designing and implementing data security controls in either AWS, Azure, and/or Google Cloud with experience with data security patterns in the other two platforms.
- Architecting and implementing secure RAG and agentic data platforms across structured and unstructured enterprise sources.
- Vector, search, and data platforms including tenant isolation, document- or row-level entitlements, metadata filtering, and identity-aware retrieval.
- Integrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and data loss prevention (DLP) technologies into production data paths.
- Reviewing or developing Python and SQL pipelines, access-control logic, validation tooling, and CI/CD integrations.
- Leading client-facing technology or cyber engagements with responsibility for scope, teams, timelines, quality, and executive stakeholders.
- Bachelor's Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; alternatively, equivalent demonstrated experience.
- Ability to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available.
PREFERRED EXPERIENCE:
- Managed AI services and self-hosted or open-weight AI platforms.
- AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring.
- Building reusable technical assets, delivery methods, or automation for client engagements.
- Machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow.
- AI data services such as Amazon Bedrock Knowledge Bases, Microsoft Foundry with Azure AI Search, Google Vertex AI RAG Engine, or Databricks AI capabilities.
- Enterprise data security and governance platforms such as Microsoft Purview, Amazon Macie and Lake Formation, Google Sensitive Data Protection, BigID, Collibra, Immuta, or Privacera.
CERTIFICATIONS (PREFERRED)
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- Certified Data Privacy Solutions Engineer (CDPSE)
- AWS / Azure / GCP Cloud certifications
- Databricks and/or Snowflake certification(s)
- Data Engineering certifications
A SUCCESSFUL CANDIDATE WOULD POSSESS THESE 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
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
LI-DT6
INTRODUCTION
As a Manager: AI Data Security in Deloitte's Cyber for AI team, you will lead client engagements that secure how enterprise data is ingested, transformed, retrieved, and used by RAG and agentic systems. You will translate business and risk objectives into target architecture, remain directly involved in critical design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets.
Recruiting for this role ends on 05/31/2027.
WORK YOU'LL DO
As a Manager: AI Data Security, you will be responsible for:
- Leading AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems.
- Translating data use cases and risk requirements into target architectures spanning sources, pipelines, vector stores, retrieval, context, outputs, and memory.
- Remaining directly involved in design reviews, entitlement and metadata decisions, critical pipeline and policy reviews, and resolution of high-risk technical issues.
- Managing engagement scope, teams, milestones, quality, and client expectations while maintaining a clear path from design to production adoption.
- Coordinating data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams.
- Shaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans.
- Developing reusable secure RAG patterns, validation tooling, and delivery methods.
- Coaching practitioners on engineering quality.
THE TEAM
Deloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk.
Within the team, our Data capability focuses on how enterprise data is discovered, classified, retrieved, transformed, and protected across RAG pipelines, vector stores, model context, and agent memory.
QUALIFICATIONS
6+ years of combined cybersecurity and AI architecture & engineering experience, including leading production generative AI or agentic implementations across models, orchestration, identity, data, and infrastructure.
Required Experience:
- Designing and implementing data security controls in either AWS, Azure, and/or Google Cloud with experience with data security patterns in the other two platforms.
- Architecting and implementing secure RAG and agentic data platforms across structured and unstructured enterprise sources.
- Vector, search, and data platforms including tenant isolation, document- or row-level entitlements, metadata filtering, and identity-aware retrieval.
- Integrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and data loss prevention (DLP) technologies into production data paths.
- Reviewing or developing Python and SQL pipelines, access-control logic, validation tooling, and CI/CD integrations.
- Leading client-facing technology or cyber engagements with responsibility for scope, teams, timelines, quality, and executive stakeholders.
- Bachelor's Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; alternatively, equivalent demonstrated experience.
- Ability to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available.
PREFERRED EXPERIENCE:
- Managed AI services and self-hosted or open-weight AI platforms.
- AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring.
- Building reusable technical assets, delivery methods, or automation for client engagements.
- Machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow.
- AI data services such as Amazon Bedrock Knowledge Bases, Microsoft Foundry with Azure AI Search, Google Vertex AI RAG Engine, or Databricks AI capabilities.
- Enterprise data security and governance platforms such as Microsoft Purview, Amazon Macie and Lake Formation, Google Sensitive Data Protection, BigID, Collibra, Immuta, or Privacera.
CERTIFICATIONS (PREFERRED)
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- Certified Data Privacy Solutions Engineer (CDPSE)
- AWS / Azure / GCP Cloud certifications
- Databricks and/or Snowflake certification(s)
- Data Engineering certifications
A SUCCESSFUL CANDIDATE WOULD POSSESS THESE 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
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
LI-DT6
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Top Industries Hiring
- Technology & Software10
- Banking & Financial Services3
- Investment & Asset Management3
- Insurance2
- Cybersecurity2
Senior Level AI Security Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai security engineer job?
Employers at this level look for demonstrated ownership of AI-specific security programs, not just participation in them. Candidates who stand out can point to work they led, such as designing adversarial ML defenses, building red-team frameworks for large language models, or setting threat modeling standards adopted across an organization. Deep fluency in both machine learning pipelines and security engineering, combined with a history of mentoring junior engineers, signals readiness for senior scope.
Which companies hire senior level ai security engineers?
Companies hiring senior level ai security engineers right now include Deloitte, Kyndryl, and Radware, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from technology firms building or deploying AI products, defense contractors, financial institutions managing model risk, and large enterprises with dedicated AI governance functions.
Are there remote senior level ai security engineer jobs?
Yes, remote work is well established at this level given the nature of the work. About 23% of senior level ai security engineer openings are remote or hybrid as of November 2026, reflecting employer comfort with distributed security teams. Fully on-site roles do exist, particularly in defense, government contracting, and regulated financial services, where data handling requirements shape location policy.
What makes an ai security engineer role senior level?
A senior level ai security engineer role is defined by scope and ownership. Where mid-level engineers execute within defined frameworks, senior engineers set those frameworks, own the security posture of AI systems end to end, and are accountable for outcomes across the organization. They lead threat modeling for novel AI attack surfaces, make architectural decisions with long-term risk implications, and are expected to mentor and develop the engineers around them.
Which industries hire the most senior level ai security engineers?
Senior level ai security engineer roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are either building AI systems at scale, operating under strict regulatory risk requirements, or managing high-value data assets that make AI model integrity a board-level concern.