Artificial Intelligence Senior Security Engineer

Job Description Bank of America’s Global Information Security (GIS) team is looking for a Cyber Threat Defense AI Security Senior Engineer to lead the integration of advanced AI technologies into our cyber defense ecosystem. The individual will own innovation across preventative, detective, and responsive security controls using agentic AI, custom-built machine learning models, and large language models (LLMs). Role Responsibilities Partner with GIS operational and technical teams to identify opportunities for AI‑driven enhancements to security controls and architecture. Drive the technical implementation 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. Required Qualifications 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. Desired Qualifications 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. Skills Artificial Intelligence Critical Thinking Threat Analysis Cyber Security Data Privacy and Protection Data and Trend Analysis Stakeholder Management Shift & Hours 1st shift (United States of America) 40 hours per week Pay Annualized salary: $145,000.00 – $192,500.00, offers to be determined based on experience, education and skill set. Benefits This role is benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Discretionary Incentive This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. #J-18808-Ljbffr