American Express is seeking to build intelligent, secure, and adaptive systems leveraging Generative AI, Agentic AI, and Classical Machine Learning to address complex challenges in Technology Risk and Information Security
Requirements
- Deep hands-on expertise in Generative AI, LLMs, and building autonomous agent-based systems
- Strong foundation in classical ML algorithms such as regression, clustering, decision trees, NLP, and probabilistic models
- Demonstrated experience in evaluating AI systems across GenAI, Agentic AI, and classical ML using clear, measurable metrics
- Knowledge of model lifecycle management, model governance protocols, and MLOps best practices
- Hands-on experience with Python, Jupyter Notebooks, VS Code, PyCharm, Github Copilot
- Experience with PyTorch, TensorFlow, scikit-learn
- Knowledge of vector databases: pgVector, Milvus
Responsibilities
- Design and deploy AI applications powered by Large Language Models (LLMs), RAG, and agentic frameworks such as LangChain, LangGraph, or AutoGen
- Implement classical ML models (e.g., classification, clustering, anomaly detection, NLP) and advanced statistical models to support predictive and prescriptive analytics
- Build scalable, cloud-native pipelines for model training, evaluation, deployment, and monitoring
- Translate complex cybersecurity and technology risk use cases into practical, scalable AI products — including dashboards, APIs, and autonomous agents
- Evaluate AI models and systems across modalities using rigorous metrics — including accuracy, latency, robustness, explainability, and fairness — to ensure real-world performance
- Ensure adherence to enterprise standards for model governance, security, and responsible AI
- Collaborate closely with data scientists, engineers, and cybersecurity stakeholders to deliver AI-driven capabilities that drive measurable business value
Other
- Bachelor’s degree in computer science, Data Science, Statistics, Engineering, Mathematics, or a related field; Master’s degree preferred
- Minimum 5 years of experience designing, developing, and deploying AI/ML solutions in production environments
- A solution-oriented mindset with the ability to execute quickly and responsibly in complex environments
- Domain experience in Cybersecurity or Technology Risk is a strong advantage but not required
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions
