Bank of America
Cyber Threat Defense Sr AI/ML Engineer
$145K–$192K
Chicago +4 · Senior · Full-time · Posted Oct 21, 2026
- Location
- Chicago
Washington
Denver
Jersey City
Boston - Experience
- 7+ years of hands-on machine learning engineering experience.
- Education
- Bachelor's degree in computer science, a related quantitative field, or equivalent applied experience; advanced degree (MS/PhD) preferred.
About the job
Builds and integrates AI and machine learning capabilities into cyber defense, including threat detection, analyst support, and automated incident response.
What you'll do
- Develop and operate custom ML models, LLM workflows, and automation for security use cases.
- Partner with security teams to improve controls and architecture, and evaluate emerging AI technologies for defense.
- Provide technical leadership, advise stakeholders, and promote responsible AI use in security operations.
What they ask for
- 7+ years of hands-on machine learning engineering, including training, evaluating, and deploying custom models in production.
- Proficiency in Python and hands-on experience with PyTorch or scikit-learn.
- Experience building LLM applications and agentic AI systems, and delivering production systems at scale involving data pipelines, deployment, MLOps, and automation.
- Working understanding of cybersecurity fundamentals; familiarity with AI governance and model risk management.
Nice to have
- Advanced degree (MS/PhD).
- Experience applying AI/ML to cybersecurity, working with large-scale security telemetry, or offensive security.
Pay
$145,000.00 - $192,500.00 annualized salary (base salary)
Tools
Python, PyTorch, scikit-learn, Azure AI Foundry, Amazon Bedrock, Google Cloud Vertex AI, Hugging Face, LangChain
AI focus
Applies ML, LLMs, and agentic AI to threat hunting, anomaly detection, incident response, analyst support, red teaming, and security controls; includes responsible AI and model governance.
Model-written summary · the original posting is authoritative