Artificial Intelligence Senior Security Engineer

Bank of America Corporation•Washington, DC

40d•Onsite

About The Position

Bank of America's Global Information Security (GIS) team is seeking a Cyber Threat Defense AI Security Senior Engineer to drive the integration of advanced AI technologies into our cyber defense ecosystem. This person will drive innovation across preventative, detective, and responsive security controls by leveraging agentic AI, custom-built machine learning models, and large language models (LLMs). This is a senior individual contributor role focused on technical innovation and subject matter expertise, working closely with leadership and engineering teams to drive AI integration into cyber defense. This security focused subject matter expert will focus on defending usage of AI, and defending against threat actors leveraging AI. The ideal candidate will have deep expertise in AI/ML, offensive and defensive security operations, and large-scale data management.

Requirements

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 Haves

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.

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 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.