AI Security Standards Architect

Bank of America

. Define and lead the AI security strategy and standards for securing AI/ML systems across their lifecycle, including data, models, APIs, and integrations .

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $141,700 - $202,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in defining and leading AI security strategies, with a strong focus on securing AI/ML systems throughout their lifecycle. Proficient in identifying AI-specific risks and embedding security practices into AI development and deployment.

Highest-signal resume keywords

Cybersecurity ExperienceAI Governance FrameworksGenerative AI KnowledgeCloud Security ExpertiseExecutive Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cyber AssessmentThreat ModelingControl ValidationAI/ML Risk ManagementData Leakage MitigationModel Lifecycle ManagementSecurity Requirements DefinitionCloud-Based Workload SecurityAI Security StandardsContinuous Monitoring

Soft Skills

Problem ResolutionInfluencing SkillsStakeholder Consensus BuildingComplex Issue DecompositionBias For Action

Tools & Technologies

MITRE ATLASOWASP Top 10 for LLMNIST AI RMFCloud PlatformsPaaS

Industry Keywords

AI Security StrategyAI/ML SystemsCybersecurity ThreatsGovernance FrameworksInformation Security Trends

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

Define and lead the AI security strategy and standards for securing AI/ML systems across their lifecycle, including data, models, APIs, and integrations
Identify and mitigate AI-specific risks such as model abuse, prompt injection, data leakage, and model theft
Embed security and governance into AI development, deployment, and third-party usage
Partner with engineering, risk, and business teams to operationalize secure AI practices
Conduct threat modeling, control validation, and continuous monitoring aligned with regulatory and enterprise risk frameworks
Define security requirements for secure AI use
Document traceability between control requirements, risks, and applicable governance frameworks
Monitor internal and external information security trends and keep leadership informed

Requirements

What you’ll need

5+ years of experience in cybersecurity, including at least 2 years focused on cyber assessment of Artificial Intelligence or Machine Learning systems
Deep understanding of Generative AI/Large Language Models and MITRE ATLAS, OWASP Top 10 for LLM and GenAI, and NIST AI RMF
Strong understanding of AI governance frameworks, policies, controls, AI/ML models, data dependencies, model lifecycle, and common AI risks
In-depth knowledge of cybersecurity threats, controls, technologies, and software developer experiences
Experience evaluating cybersecurity controls and providing guidance for cloud or distributed computing platforms, including Cloud and PaaS
Exceptional executive presentation and communication skills
Excellent influencing and problem resolution skills
Ability to bring multiple stakeholders together and reach consensus
Ability to decompose complex issues and drive timely decisions
Ability to design, architect, analyze, support, and secure cloud-based workloads
Bias for action and commitment to building partnerships in a dynamic risk- and threat-driven environment
Bachelor's and/or Master's degree in Computer Science, Information Technology, or related field is desired
40 hours per week
1st shift (United States of America)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Annual discretionary incentive award eligibility
Paid time off
Resources and support for employees