Bank Of America Artificial Intelligence Security Team Lead 

United States, Illinois, Chicago 

539276696

Job Description:

Job Description:

Role Responsibilities:

• Develop and execute a comprehensive strategy for integrating AI into Cyber Threat Defense operations.
• Build and lead a team of AI engineers, data scientists, and security professionals focused on applying AI to threat detection, response automation, and adversarial simulation.
• Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
• Lead the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
• Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
• Guide architectural transformations to support scalable AI integration across the enterprise.
• Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy.
• Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability.
• Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
• Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.

Required Qualifications

• Proven leadership in building and managing AI-focused cybersecurity teams.
• 7+ years of hands on experience in cybersecurity, specifically in Offensive Security or Threat Defense Operations.
• Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
• Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling.
• Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation.
• Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures.
• Ability to translate complex technical concepts into actionable strategies for senior executives.
• Familiarity with AI governance, model risk management, and regulatory considerations in financial services.
• Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives.
• Strong communication and presentation skills, especially in executive and cross-functional settings.

Desired Qualifications

• Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Experience with modern data platforms, cloud-native architectures
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Prior work in regulated industries with a focus on compliance and risk mitigation.

This job will be open and accepting applications for a minimum of seven days from the date it was posted.