Mid Level AI Security Engineer Jobs
Mid level ai security engineer jobs go to professionals ready to own security initiatives end to end, make architectural decisions with limited oversight, and mentor junior teammates. Roles are 31% remote or hybrid, concentrated across Technology & Software, Investment & Asset Management, and Science & Research, with employers like Deloitte, BRAIN, and Plaid hiring at this level now.
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In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Risk & Resiliency Mgmt position at the Vice President level, which is part of the job family responsible for identifying, assessing, and mitigating risks to ensure operational continuity and resilience in the face of potential threats or disruptions that could impact the organization, plus management of ongoing incidents.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
Morgan Stanley is seeking a Vice President to help develop and implement security controls and governance frameworks for artificial intelligence systems across the firm. This individual will work at the intersection of cybersecurity, AI/ML engineering, and regulatory compliance, helping ensure that AI initiatives are built, deployed, and monitored in accordance with sound security practices, industry standards, and applicable regulation. This is an individual-contributor role reporting into the AI Security & Governance function; it is not a people-management position.
What you’ll do in the role:
- Design, implement, and maintain security controls for AI/ML systems across the model lifecycle - from development and training through deployment, monitoring, and decommissioning.
- Conduct threat modeling for AI systems, identifying risks such as data poisoning, model inversion, adversarial inputs, prompt injection, and supply-chain risks in third-party or open-source models.
- Develop and maintain AI governance policies, standards, and control frameworks aligned with recognized industry standards (e.g., NIST AI RMF, NIST CSF, ISO/IEC 42001, ISO/IEC 27001).
- Track and interpret evolving AI-related regulation (e.g., the EU AI Act, relevant U.S. federal/state guidance, and financial-sector regulatory expectations) and translate requirements into practical firm policy and control requirements.
- Partner with technology, model risk management, legal, compliance, and business stakeholders to embed security and governance requirements into AI development and procurement processes.
- Support risk assessments and control testing for new and existing AI use cases, including third-party AI tools and vendor models.
- Contribute to firmwide AI risk registers, control inventories, and governance documentation.
- Stay current on the AI threat landscape and emerging attack techniques, translating findings into updated controls and awareness materials.
- Assist in responding to internal audit, regulatory examination, and client due-diligence inquiries related to AI security and governance.
What you’ll bring to the role:
- Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field; advanced degree a plus.
- 5+ years of experience in cybersecurity, technology risk, or a related discipline, with demonstrated exposure to AI/ML systems.
- Working knowledge of threat modeling methodologies (e.g., STRIDE, MITRE ATLAS) as applied to AI/ML systems.
- Familiarity with relevant industry standards and frameworks (NIST AI RMF, NIST CSF, ISO/IEC 27001, ISO/IEC 42001).
- Understanding of the regulatory landscape for AI, including the EU AI Act and emerging financial-services AI guidance.
- Foundational knowledge of AI/ML concepts, model architectures, and common deployment patterns (e.g., LLMs, MLOps pipelines, cloud-hosted models).
- Strong written and verbal communication skills; ability to translate technical risk into business-relevant terms for varied stakeholders.
- Relevant certifications (e.g., CISSP, CISM, or AI/ML-specific certifications) are a plus but not required.
- Prior experience in financial services or another regulated industry preferred.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Risk & Resiliency Mgmt position at the Vice President level, which is part of the job family responsible for identifying, assessing, and mitigating risks to ensure operational continuity and resilience in the face of potential threats or disruptions that could impact the organization, plus management of ongoing incidents.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
Morgan Stanley is seeking a Vice President to help develop and implement security controls and governance frameworks for artificial intelligence systems across the firm. This individual will work at the intersection of cybersecurity, AI/ML engineering, and regulatory compliance, helping ensure that AI initiatives are built, deployed, and monitored in accordance with sound security practices, industry standards, and applicable regulation. This is an individual-contributor role reporting into the AI Security & Governance function; it is not a people-management position.
What you’ll do in the role:
- Design, implement, and maintain security controls for AI/ML systems across the model lifecycle - from development and training through deployment, monitoring, and decommissioning.
- Conduct threat modeling for AI systems, identifying risks such as data poisoning, model inversion, adversarial inputs, prompt injection, and supply-chain risks in third-party or open-source models.
- Develop and maintain AI governance policies, standards, and control frameworks aligned with recognized industry standards (e.g., NIST AI RMF, NIST CSF, ISO/IEC 42001, ISO/IEC 27001).
- Track and interpret evolving AI-related regulation (e.g., the EU AI Act, relevant U.S. federal/state guidance, and financial-sector regulatory expectations) and translate requirements into practical firm policy and control requirements.
- Partner with technology, model risk management, legal, compliance, and business stakeholders to embed security and governance requirements into AI development and procurement processes.
- Support risk assessments and control testing for new and existing AI use cases, including third-party AI tools and vendor models.
- Contribute to firmwide AI risk registers, control inventories, and governance documentation.
- Stay current on the AI threat landscape and emerging attack techniques, translating findings into updated controls and awareness materials.
- Assist in responding to internal audit, regulatory examination, and client due-diligence inquiries related to AI security and governance.
What you’ll bring to the role:
- Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field; advanced degree a plus.
- 5+ years of experience in cybersecurity, technology risk, or a related discipline, with demonstrated exposure to AI/ML systems.
- Working knowledge of threat modeling methodologies (e.g., STRIDE, MITRE ATLAS) as applied to AI/ML systems.
- Familiarity with relevant industry standards and frameworks (NIST AI RMF, NIST CSF, ISO/IEC 27001, ISO/IEC 42001).
- Understanding of the regulatory landscape for AI, including the EU AI Act and emerging financial-services AI guidance.
- Foundational knowledge of AI/ML concepts, model architectures, and common deployment patterns (e.g., LLMs, MLOps pipelines, cloud-hosted models).
- Strong written and verbal communication skills; ability to translate technical risk into business-relevant terms for varied stakeholders.
- Relevant certifications (e.g., CISSP, CISM, or AI/ML-specific certifications) are a plus but not required.
- Prior experience in financial services or another regulated industry preferred.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .
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- Technology & Software
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- Science & Research
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Mid Level AI Security Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai security engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you led the security design, identified vulnerabilities independently, or delivered a fix without close supervision. Emphasize hands-on work with AI or ML systems, threat modeling, and secure deployment pipelines. Tailoring your resume to show concrete impact on specific systems will differentiate you from candidates who list skills without demonstrating scope.
Which companies hire mid level ai security engineers?
Companies hiring mid level ai security engineers right now include Deloitte, BRAIN, and Plaid, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of enterprise technology firms, defense contractors, and fast-growing AI product companies that need engineers who can operate independently on complex security challenges.
Are there remote mid level ai security engineer jobs?
Yes, remote and hybrid options are common at this level. About 31% of mid level ai security engineer openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced engineers who can work without close in-office supervision. On-site roles do exist, particularly in defense, government contracting, and regulated financial services sectors.
How do I move up to a mid level ai security engineer role?
Moving from entry level to mid level means building depth across the full security lifecycle, not just executing tasks. Focus on owning at least one significant project from assessment through remediation, learning how to threat-model AI and ML systems, and gaining fluency in cloud security tooling. Demonstrating measurable impact, such as reducing a vulnerability surface or improving detection accuracy, signals readiness for the increased autonomy mid level roles require.
Which industries hire the most mid level ai security engineers?
Mid Level ai security engineer roles concentrate in Technology & Software, Investment & Asset Management, and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they deploy AI systems at scale in high-stakes environments where securing model pipelines, data infrastructure, and inference endpoints demands experienced, independent engineers rather than entry-level support staff.