AI Engineer I

Job Description

Campus Graduate Masters Full-Time Engineer – 2027 AI Engineer I, Enterprise Technology Services- Palo Alto, CA | American Express

The Tone:
This is a full-time role at American Express, located in Palo Alto, CA. The Enterprise Technology Services organization partners with every part of the company to power growth and innovation with trust and efficiency, driving competitive differentiation with speed. As an AI Engineer I, you will join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions. Your work will empower technologists to learn, innovate, and make an impact, helping to deliver enterprise AI solutions responsibly, reliably, and securely.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Hybrid – Palo Alto, CA

• Team: Enterprise Technology Services – AI Engineering
• Mission: To help deliver enterprise AI solutions responsibly, reliably, and securely by exploring, building, testing, and scaling AI-enabled capabilities.
• Tech Stack: Python, R, Java, JavaScript, Git, LLM APIs, BERT, transformers, data pipelines, ETL processes, cloud environments, containerized development.

What You’ll Actually Do
• Develop & Integrate: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
• Data Management: Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.
• Improve Solutions: Contribute to debugging and enhancing AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
• Implement AI Capabilities: Support AI functionalities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents, or agentic workflows.
• Collaborate & Deliver: Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned with business requirements.

The Must-Haves
• Background: Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field. This role requires a foundational understanding of computer science concepts, machine learning principles (supervised/unsupervised learning, model training, evaluation), and introductory knowledge of modern AI systems (LLM APIs, prompt-based interactions).
• Experience: Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
• Skills: Knowledge of Python, foundational data processing technologies, data structures, algorithms, object-oriented programming, debugging, testing, problem solving, communication, collaboration, documentation, and learning agility.
• Bonus: Expected graduation between December 2026 and June 2027. Experience with R, Java, JavaScript, NLP techniques (embeddings, BERT, transformers), LLM APIs (prompt engineering, function calling), machine learning algorithms applied to problems, APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, monitoring, CI/CD, version control (Git), Agile development, and an interest in responsible AI practices or enterprise-scale delivery.