Lead AI Security Architect & Governance

Bank of America; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

Bank of America is seeking an AI Security Standards Architect to define and lead the security strategy for AI/ML systems across data, models, APIs and integrations. You will mitigate AI-specific risks and collaborate with engineering, risk, and business teams to implement secure practices and governance.

The role requires deep expertise in AI security controls, regulatory alignment, and the ability to drive decisions with senior leadership while ensuring secure cloud-based workloads and

Qualifications

• 5+ years of cybersecurity experience with at least 2 years focused on AI/ML systems
• Knowledge of Generative AI/LLMs and assessment frameworks (MITRE ATLAS, OWASP Top 10 for LLM/GenAI, NIST AI RMF)
• Experience governing AI use cases with frameworks, policies, and controls
• Understanding of cloud-based workloads, data dependencies and model lifecycles
• Ability to bridge security with engineering, risk, and business teams

Responsibilities

• Define and lead the AI security strategy and standards across data, models, APIs and integrations
• Identify and mitigate AI-specific risks such as model abuse, prompt injection and data leakage
• Partner with engineering, risk, and business teams to operationalize secure AI practices and governance
• Define security requirements and traceability between controls, risks, and governance
• Monitor security trends and keep leadership informed across the bank

Skills

Customer and Client Focus

Cyber Security

Data Governance

Executive Presence

Information Systems Management

Architecture

Business Intelligence

Risk Management

Threat Analysis

Vendor Management

Education

Bachelor's or Master’s degree in Computer Science, Information Technology or related field

Job description

Bank of America is seeking an AI Security Standards Architect to define and lead the security strategy for AI/ML systems across data, models, APIs and integrations. You will mitigate AI-specific risks and collaborate with engineering, risk, and business teams to implement secure practices and governance.

The role requires deep expertise in AI security controls, regulatory alignment, and the ability to drive decisions with senior leadership while ensuring secure cloud-based workloads and