AI Security Standards Architect

Bank of America

. Define and lead the AI security strategy and standards across the AI/ML lifecycle .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and leading AI security strategies, with a strong focus on mitigating AI-specific risks and embedding security into the AI/ML lifecycle. Proficient in evaluating cybersecurity controls and guiding secure practices across cloud and distributed computing platforms.

Highest-signal resume keywords

Cybersecurity ExperienceAI Security Strategy DevelopmentGenerative AI KnowledgeAI Governance FrameworksCloud Security Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CybersecurityAI Risk MitigationThreat ModelingControl ValidationAI/ML Model LifecycleCyber AssessmentData Leakage PreventionModel Theft PreventionCloud SecuritySoftware Development Security

Soft Skills

Executive Presentation SkillsInfluencing SkillsProblem Resolution SkillsConsensus BuildingDecision-Making

Tools & Technologies

MITRE ATLASOWASP Top 10 for LLMNIST AI RMFCloud PlatformsPaaS

Industry Keywords

AI SecurityMachine Learning SecurityInformation Security TrendsGovernance FrameworksCybersecurity Controls

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

Define and lead the AI security strategy and standards across the AI/ML lifecycle
Identify and mitigate AI-specific risks, including 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 and document traceability between controls, risks, and governance frameworks
Monitor internal and external information security trends
Keep leadership informed

Requirements

What you’ll need

5+ years of experience in cybersecurity
At least 2 years focused on cyber assessment of Artificial Intelligence or Machine Learning systems
Deep understanding of Generative AI/Large Language Models
Knowledge of MITRE ATLAS, OWASP Top 10 for LLM and GenAI, and NIST AI RMF
Strong understanding of AI governance frameworks, policies, and controls
Working knowledge of AI/ML models, data dependencies, model lifecycle, and common AI risks
In-depth knowledge of cybersecurity threats, controls, and technologies
Experience with software developer experiences and applying cybersecurity concepts practically
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 together senior business and technology stakeholders and reach consensus
Ability to decompose complex issues and drive timely decisions
Ability to design, architect, analyze, support, and secure cloud-based workloads
Bachelor's and/or Master's degree in Computer Science, Information Technology, or related field is desired

Benefits

Comp & perks

Inclusive workplace culture
Opportunities to learn, grow, build a career, and make an impact
Support for physical, emotional, and financial wellness
Affordable, competitive, and flexible benefits
Annual discretionary incentive plan
Paid time off
Employee resources and support