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Senior AI Security Engineer at Bank of America – driving AI integration in cyber defense.
Lead AI innovation, threat hunting and incident response. Impact legacy banking security.
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description
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.
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 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.
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
This job will be open and accepting applications for a minimum of seven days from the date it was posted.
Shift:
1st shift (United States of America)
Hours Per Week:
40