Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY
American Express2 months ago
Base Salary
$78k - $125k/yr
Responsibilities
- Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance.
- Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
- Debug and improve AI-enabled solutions for performance, reliability, explainability, maintainability, and quality.
- Support model training workflows, inference endpoints, prompt interactions, evaluation routines, retrieval patterns, AI agents, and agentic workflows.
- Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions.
- Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions.
- Participate in sprint planning, stand-ups, demos, retrospectives, code reviews, and other Agile team ceremonies.
- Help ensure AI systems align with enterprise expectations for reliability, safety, governance, security, compliance, and escalation.
Requirements
- Earn a bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the end of June 2027.
- Know Python and foundational data processing technologies.
- Understand foundational computer science concepts including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
- Understand foundational machine learning concepts including supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Have introductory knowledge of LLM APIs, prompt interactions, retrieval patterns, AI-powered tools, or generative AI applications.
- Be able to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
- Be aware of responsible AI expectations involving reliability, safety, governance, security, privacy, compliance, and escalation.
- Demonstrate communication, collaboration, documentation, and learning agility across technical and non-technical teams.
- Preferred qualifications include experience or coursework with Python, R, Java, JavaScript, machine learning, NLP, LLM APIs, prompt engineering, retrieval, agent workflows, APIs, data pipelines, ETL, cloud environments, containerized development, model deployment, monitoring, Git, testing, code reviews, and collaborative software development.
- Must be eligible to work in the United States; American Express will not pursue visa sponsorship for these positions.
Benefits
- Competitive base salaries and bonus incentives.
- 6% company match on the retirement savings plan and free financial coaching.
- Medical, dental, vision, life insurance, and disability benefits.
- Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need.
- 20+ weeks of paid parental leave for all parents for pregnancy, adoption, or surrogacy.
- Access to global onsite wellness centers, confidential counseling through Healthy Minds, and career development and training opportunities.
Tech Stack
Categories
About American Express
American Express builds a global payments network and issues consumer, small-business, and corporate cards, plus merchant acquiring and travel services. Revenue comes from card fees, interest and lending, discount/merchant fees, and network services. Founded in 1850 and headquartered in New York City, it operates the Amex acceptance network worldwide and offers co-branded cards and membership rewards across millions of cardmembers and merchants; ticker NYSE: AXP.