Artificial Intelligence Senior Security Engineer

Cyber Threat Defense AI Security Senior Engineer

Bank of America – Global Information Security (GIS) team.

Denver, CO;
Washington, DC;
Chicago, IL;
Boston, MA

• Partner with GIS operational and technical teams to identify opportunities for AI‑driven enhancements to security controls and architecture.
• Drive the technical implementation of 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.
• Act as a technical expert on AI‑driven cybersecurity initiatives, mentoring junior engineers and analysts.
• Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response.
• 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.

• 7+ years of hands‑on experience in cybersecurity, preferably Offensive Security or Cyber Threat Operations.
• Hands‑on experience building agentic AI systems, LLMs, and custom ML model development.
• Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex.
• 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.
• Experience with modern data platforms, cloud‑native architectures, and MLOps frameworks.
• 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.

• Experience with AI‑enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Experience with open‑source AI frameworks (e.g., PyTorch, Tensor Flow, Lang Chain).
• Prior work in regulated industries with a focus on compliance and risk mitigation.

• Artificial Intelligence
• Critical Thinking
• Threat Analysis
• Cyber Security
• Data Privacy and Protection
• Data and Trend Analysis
• Stakeholder Management

Annualized salary range: $ – $, with possible discretionary incentive participation.

Benefits include industry‑leading health and wellness programs, paid time off, and resources to support employees' well‑being.