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Campus Undergraduate Summer Internship – AI Engineer, Enterprise Technology Services
American Express. Support development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational knowledge in Python and machine learning concepts, with experience in AI model training, evaluation, and deployment. Capable of collaborating effectively in Agile environments while ensuring compliance and reliability in AI systems.
Highest-signal resume keywords
Python ProgrammingMachine Learning ConceptsAI Model TrainingAgile PracticesData Processing Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData StructuresAlgorithmsDebuggingTestingFeature EngineeringNLP TechniquesETLModel EvaluationGenerative AI Applications
Soft Skills
Strong CommunicationCollaborationDocumentationLearning AgilityTeamwork
Tools & Technologies
APIsCloud EnvironmentsCI/CDContainersData PipelinesVersion ControlBERTTransformersPrompt-Based InteractionsRetrieval Patterns
Industry Keywords
Responsible AIGovernanceSecurityComplianceReliability
Tech Stack
Tools & technologiesCloudETLJavaJavaScriptOpen SourcePython
About the role
Key responsibilities & impact- Support development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance
- Assist with data collection, preprocessing, transformation, and management for model training, testing, validation, and evaluation
- Test, debug, and improve AI-enabled solutions for performance, reliability, explainability, and maintainability
- Support model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, AI agents, and agentic workflows
- Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions
- Document model parameters, prompts, evaluation assumptions, data pipelines, system integrations, and technical decisions
- Participate in Agile practices including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies
- Help ensure AI systems and features meet enterprise expectations for reliability, safety, governance, security, and compliance
- Build foundational experience with APIs, cloud environments, data platforms, CI/CD, containers, model deployment, and monitoring
Requirements
What you’ll need- Currently enrolled in a full-time bachelor’s degree program
- Bachelor’s degree candidate with an expected graduation date between December 2027 and June 2028
- Knowledge of Python and foundational data processing technologies
- Foundational understanding of computer science concepts, including data structures, algorithms, debugging, testing, and problem solving
- Understanding of machine learning concepts such as model training, evaluation, feature engineering, and experimentation
- Experience using modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, or generative AI applications
- Awareness of responsible AI, security, governance, compliance, and reliability considerations
- Strong communication, collaboration, documentation, and learning agility with the ability to work effectively in a team environment
- Employment eligibility to work with American Express in the United States; the company will not pursue visa sponsorship
- Preferred: experience through coursework, research, projects, open source contributions, internships, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies
- Preferred: familiarity with NLP techniques, embeddings, BERT, transformers, APIs, data pipelines, ETL, cloud environments, containers, CI/CD, version control, testing, and code reviews
Benefits
Comp & perks- Flexible work arrangements and schedules with hybrid and virtual options through Amex Flex
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counselling support through the Healthy Minds program
- Career development and training opportunities
- Hands-on engineering experience
- Manager and mentor support
- Technical learning
- Leadership exposure
- Strong peer community
- Technical curriculum and Early Careers programming
- Competitive base salaries