American Express is offering a 2027 Campus Undergraduate Summer Internship Program for students interested in artificial intelligence, machine learning, software engineering, data, and enterprise technology.
The AI Engineer Intern position is based in Atlanta, Georgia, with a hybrid work arrangement. The 10-week summer internship will give selected students the opportunity to contribute to real-world technology projects, work with Agile teams, and gain practical experience in how AI-enabled solutions are designed, developed, tested and responsibly deployed within a global enterprise environment.
The internship is part of American Express’s Enterprise Technology Services organisation, which supports technology engineering, architecture, infrastructure, data platforms, digital products, enterprise AI platforms, technology risk and information security.
About the American Express AI Engineer Internship
The American Express AI Engineer Intern will work within Enterprise Technology Services and contribute at an early-career level while learning how intelligent systems are built, validated, integrated, monitored and governed in an enterprise environment.
During the 10-week programme, interns may support projects involving:
- Machine learning
- Generative AI
- Intelligent automation
- Data pipelines
- Retrieval patterns
- Model evaluation
- AI agents
- Agentic workflows
- AI-enabled software features
Interns will work alongside engineers, product partners, data practitioners, security teams and business stakeholders to understand how enterprise AI solutions are designed and delivered responsibly, reliably and securely.
About the Enterprise Technology Services Team
Enterprise Technology Services teams build and operate technology that enables American Express to provide trusted, secure and customer-focused products and services.
Depending on business needs and project requirements, interns may be aligned with teams working in areas such as:
- Backend engineering
- Frontend engineering
- Cloud engineering
- Mobile technology
- AI and machine learning
- Data-oriented engineering
- Full-stack product development
This provides interns with exposure to different technology disciplines while allowing them to contribute according to their individual strengths and project requirements.
Responsibilities of the AI Engineer Intern
The selected intern will support a variety of technical and collaborative activities.
AI and Machine Learning Development
The intern may assist with the development and integration of AI/ML models, LLM integrations and intelligent services into controlled or production-like systems under appropriate guidance.
Data Processing
Responsibilities may include supporting:
- Data collection
- Data preprocessing
- Data transformation
- Data management
- Model training
- Testing
- Validation
- Evaluation
These activities help provide the data foundations required for developing and assessing AI systems.
Testing and Improving AI Solutions
Interns may contribute to testing, debugging and improving AI-enabled solutions.
The work will focus on strengthening factors such as:
- Performance
- Reliability
- Explainability
- Maintainability
AI Agents and Generative AI
The intern may support AI capabilities including basic model-training workflows, inference endpoints, prompt-based interactions, evaluation routines, data-retrieval pipelines, AI agents and agentic workflows.
Cross-Functional Collaboration
The role involves collaboration with engineering, product, data, risk, security and business teams to develop AI-driven solutions aligned with business requirements.
Documentation
The intern will also be expected to document technical work, including:
- Model parameters
- Prompts
- Evaluation assumptions
- Data pipelines
- System integrations
- Technical decisions
This documentation supports reproducibility and helps teams understand how AI solutions are developed and evaluated.
Agile Development
Interns will participate in Agile development activities, which may include:
- Sprint planning
- Stand-ups
- Demonstrations
- Retrospectives
- Code reviews
- Team ceremonies
What Interns Will Learn
The internship is designed to provide practical exposure to enterprise AI development.
Interns will learn how AI-enabled software is:
- Designed
- Built
- Tested
- Delivered
- Integrated
- Monitored
- Governed
They will also gain exposure to machine learning, generative AI, LLM APIs, prompt-based workflows, retrieval patterns, AI agents and model evaluation.
Additional learning areas include:
- Collaboration between Product, Engineering, Data, Security, Risk and business teams
- Responsible AI practices
- Privacy and security considerations
- Compliance
- Quality and resilience
- Technical communication
- Documentation
- Problem-solving
- Professional development and mentorship
Minimum Qualifications
Applicants must meet the stated minimum qualifications for the position.
These include:
- Currently enrolled in a full-time bachelor’s degree programme.
- 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, including 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.
Preferred Qualifications
American Express also lists several preferred qualifications that can strengthen an applicant’s profile.
Experience gained through academic coursework, research, projects, open-source contributions, internships or extracurricular activities using technologies such as Python, R, Java or JavaScript is beneficial.
Applicants may also benefit from experience or interest in:
- Machine learning
- Generative AI
- Natural language processing
- Intelligent automation
- Data engineering
- Agentic AI
- AI-enabled software development
- AI-powered applications
- Copilots
- Intelligent assistants
- Agentic workflows
- Research prototypes
- Hackathon projects
Familiarity with NLP techniques, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, APIs, data pipelines, ETL, cloud environments, CI/CD, version control and containerised development is also considered beneficial.
AI Engineer Areas and Skills
AI Engineer interns may be assigned to different areas depending on business needs, project requirements and individual strengths.
AI and Machine Learning Engineering
Relevant skills include:
- Python
- R
- Java
- 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 Engineering for AI
Experience with the following can be beneficial:
- Data collection
- Data preprocessing
- Data quality
- ETL
- Data pipelines
- SQL
- Big data concepts
- Data validation
- Feature pipelines
- Reproducible data workflows
AI-Enabled Software Engineering
Relevant technical areas include:
- APIs
- Microservices
- Inference endpoints
- Application integration
- Cloud-native development
- Agile delivery
- Testing
- CI/CD
- Containerisation
- Observability
- Production-like deployment practices
Generative AI and LLM Applications
Applicants may benefit from experience with:
- Prompt-based interactions
- LLM integrations
- Retrieval-augmented generation concepts
- AI output evaluation
- Grounding patterns
- Guardrails
- AI agents
- Agent orchestration
- Human-in-the-loop review
Enterprise AI Readiness
The internship also exposes participants to areas such as:
- Security
- Compliance
- Model governance
- Documentation
- Risk awareness
- System reliability
- Issue escalation
- Responsible AI practices
Cybersecurity and AI Security
Relevant knowledge includes secure software development, application security, identity and access management, data protection, encryption concepts, secure API design and vulnerability awareness.
The role may also involve awareness of AI security risks such as prompt injection, data leakage and model abuse, alongside governance controls and responsible handling of sensitive information.
Internship Benefits and Candidate Value Proposition
According to American Express, AI Engineer interns gain hands-on engineering experience, manager and mentor support, technical learning opportunities, leadership exposure and access to a strong peer community.
The company also lists benefits and support that may include:
- Competitive base salaries
- Flexible work arrangements and schedules
- Hybrid and virtual options through Amex Flex
- Access to on-site wellness centres depending on location
- Confidential counselling support through the Healthy Minds programme
- Career development and training opportunities
Employment Eligibility
Employment eligibility to work with American Express in the United States is required.
The company states that it will not pursue visa sponsorship for these positions. Applicants should therefore ensure that they meet the applicable U.S. employment eligibility requirements before applying.
Internship Location and Work Arrangement
The position is associated with Atlanta, Georgia, United States, and is listed as hybrid in the opportunity title and description.
However, the job-information section of the supplied source separately lists AMEX 18850 North 56th Street, Phoenix, Arizona, as a hybrid location. Because these two location details conflict within the supplied source, applicants should verify the location shown on the live American Express application page before submitting an application.
Application Deadline
The supplied job information lists the application closing date as:
October 1, 2026 at 03:59
Applicants are encouraged to submit their applications before the deadline rather than waiting until the final hours.
How to Apply
Interested students should apply through the official American Express careers platform.
Applicants should:
- Review the AI Engineer Intern position and its requirements.
- Confirm that they meet the bachelor’s degree and expected graduation requirements.
- Review the technical qualifications, particularly Python, computer science, machine learning and AI experience.
- Ensure they meet U.S. employment eligibility requirements.
- Prepare an application highlighting relevant academic projects, research, internships, extracurricular activities or technical experience.
- Submit the application before the stated deadline.
Apply through American Express Careers
Key Details
| Detail | Information |
|---|---|
| Opportunity | AI Engineer Intern |
| Company | American Express |
| Programme | Campus Undergraduate Summer Internship Program |
| Duration | 10 weeks |
| Session | Summer 2027 |
| Academic Level | Bachelor’s degree candidate |
| Expected Graduation | December 2027 – June 2028 |
| Work Arrangement | Hybrid |
| Primary Location Listed | Atlanta, Georgia, USA |
| Employment Eligibility | U.S. work eligibility required |
| Visa Sponsorship | Not provided |
| Job Category | Technology |
| Posting Date | August 17, 2026 |
| Application Deadline | October 1, 2026 at 03:59 |
The source’s job-information section also lists a Phoenix, Arizona location and “High School Graduate” as the degree level, which conflicts with the detailed AI Engineer qualifications specifying a full-time bachelor’s degree and Atlanta, Georgia. Applicants should rely on the live application page for the final posting details.
Conclusion
The American Express AI Engineer Summer Internship 2027 offers eligible university students an opportunity to gain practical experience in artificial intelligence, machine learning, data engineering and software development within a global enterprise environment.
The 10-week internship combines technical learning with hands-on project experience, mentorship and collaboration across engineering, product, data, security, risk and business teams.
Students graduating between December 2027 and June 2028 who have experience or foundational knowledge in Python, computer science, machine learning and modern AI systems are encouraged to review the opportunity and apply before the October 1, 2026 deadline.
Apply Now – American Express Careers
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