Artificial Intelligence Senior Security Engineer

Bank of America Bank of America · Banking · Chicago, IL +3

Senior Engineer focused on integrating AI (agentic AI, ML models, LLMs) into cyber defense for a large financial institution. Responsibilities include driving technical implementation of AI-powered security tools, overseeing ML/LLM model development, guiding architectural transformations, prototyping emerging AI, and ensuring responsible AI use. Requires strong cybersecurity experience, hands-on AI building experience, and understanding of offensive/defensive security.

What you'd actually do

  1. Drive the technical implementation of the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
  2. Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
  3. Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response.
  4. Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
  5. Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.

Skills

Required

  • 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

Nice to have

  • 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, TensorFlow, LangChain)
  • Prior work in regulated industries with a focus on compliance and risk mitigation

What the JD emphasized

  • building agentic AI systems, LLMs, and custom ML model development
  • 7+ years of hands on experience in cybersecurity
  • Hands-on experience building agentic AI systems, LLMs, and custom ML model development

Other signals

  • AI integration into cyber defense
  • agentic AI, custom-built machine learning models, and large language models (LLMs)
  • defending usage of AI, and defending against threat actors leveraging AI
  • building agentic AI systems, LLMs, and custom ML model development