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About the Role

As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week Summer Internship Program and contribute to real-world technology projects that help teams explore, build, test, and responsibly scale AI-enabled solutions. You’ll build software, collaborate with Agile teams, and learn how products are designed, developed, tested, and delivered in a global enterprise environment.

Responsibilities

Support the development and integration of AI / ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance.
Assist with data collection, preprocssing, transformation, and management to enable model training, testing, validation, and evaluation.
Contribute to testing, debugging, and improving AI-enabled solutions to strengthen performance, reliability, explainability, and maintainability.
Support AI capabilities such as basic model training workflows, inference endpoints, prompt-based interactions, evaluation routines, data retrieval pipelines, AI agents, or agentic workflows.
Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to business requirements.
Document model parameters, prompts, evaluation assumptions, data pipelines, system integrations, and technical decisions to support reproducibility.
Participate in Agile development practices, including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
Assist in ensuring AI systems and AI-enabled features align with enterprise expectations for reliability, safety, governance, security, and compliance.
Build foundational confidence working across AI-adjacent technology areas such as APIs, cloud environments, data platforms, CI/CD, containers, model deployment patterns, and monitoring.

Requirements

Currently enrolled in a Master’s degree program in Computer Science, Machine Learning, Data Science, Computer Engineering, or another technical field.
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.
Demonstrated experience through academic coursework, research, projects, open-source contributions, internships, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
Experience building AI-powered applications, copilots, intelligent assistants, agentic workflows, research prototypes, or hackathon solutions using AI/ML technologies.
Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, or other modern language models.
Exposure and experience with prompt engineering, prompt evaluation, tools, function calling, or agent workflow concepts.
Experience or coursework involving ML algorithms and applying them to practical or real-world problems.
Familiarity with APIs, data pipelines, ETL processes, cloud environments, or containerized development.
Awareness of CI/CD, version control, testing, code reviews, and collaborative software engineering workflows.
Curiosity for AI-powered developer tools, responsible AI practices, governance, security, and enterprise-scale delivery.

Skills

Python
R
Java
JavaScript
Machine learning fundamentals
Model training
Model evaluation
Feature engineering
NLP
Embeddings
Transformer models
LLM APIs
Prompt engineering
Retrieval patterns
AI agents
Model documentation
Responsible AI concepts
Data collection
Preprocessing
Data quality
ETL
Data pipelines
SQL
Big data concepts
Data validation
Feature pipelines
Reproducible data workflows
APIs
Microservices
Inference endpoints
Application integration
Cloud-native development
Agile delivery
Testing
CI/CD
Containerization
Observability
Production-like deployment practices
Prompt-based interactions
Retrieval-augmented generation concepts
Evaluation of AI outputs
Grounding patterns
Guardrails
Agent orchestration
Human-in-the-loop review
Security
Compliance
Model governance
Risk awareness
System reliability
Issue escalation
Secure software development practices
Application security fundamentals
Identity and access management
Data protection
Encryption concepts
Secure API design
Vulnerability awareness
Threat modeling fundamentals
Secure use of AI/LLM technologies
AI security risks
Prompt injection
Data leakage
Model abuse
Governance controls
Compliance awareness
Responsible handling of sensitive information

Work Type

Hybrid
Virtual

Experience Level

Intern

Education Level

Master’s degree

Benefits

Competitive base salaries
Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counselling support through our Healthy Minds program
Career development and training opportunities

About the Company

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.
From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Equal Opportunity

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.