American Express AI Engineer Summer Internship 2027 in USA | Apply for 10-Week Technology Internship

<p><strong>American Express</strong> is offering a <strong>2027 Campus Undergraduate Summer Internship Program</strong> for students interested in artificial intelligence, machine learning, software engineering, data, and enterprise technology.</p> <p>The <strong>AI Engineer Intern</strong> position is based in <strong>Atlanta, Georgia</strong>, 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.</p> <p>The internship is part of American Express&#8217;s Enterprise Technology Services organisation, which supports technology engineering, architecture, infrastructure, data platforms, digital products, enterprise AI platforms, technology risk and information security.</p> <h2>About the American Express AI Engineer Internship</h2> <p>The <strong>American Express AI Engineer Intern</strong> 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.</p> <p>During the 10-week programme, interns may support projects involving:</p> <ul> <li>Machine learning</li> <li>Generative AI</li> <li>Intelligent automation</li> <li>Data pipelines</li> <li>Retrieval patterns</li> <li>Model evaluation</li> <li>AI agents</li> <li>Agentic workflows</li> <li>AI-enabled software features</li> </ul> <p>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.</p> <h2>About the Enterprise Technology Services Team</h2> <p>Enterprise Technology Services teams build and operate technology that enables American Express to provide trusted, secure and customer-focused products and services.</p> <p>Depending on business needs and project requirements, interns may be aligned with teams working in areas such as:</p> <ul> <li>Backend engineering</li> <li>Frontend engineering</li> <li>Cloud engineering</li> <li>Mobile technology</li> <li>AI and machine learning</li> <li>Data-oriented engineering</li> <li>Full-stack product development</li> </ul> <p>This provides interns with exposure to different technology disciplines while allowing them to contribute according to their individual strengths and project requirements.</p> <h2>Responsibilities of the AI Engineer Intern</h2> <p>The selected intern will support a variety of technical and collaborative activities.</p> <h3>AI and Machine Learning Development</h3> <p>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.</p> <h3>Data Processing</h3> <p>Responsibilities may include supporting:</p> <ul> <li>Data collection</li> <li>Data preprocessing</li> <li>Data transformation</li> <li>Data management</li> <li>Model training</li> <li>Testing</li> <li>Validation</li> <li>Evaluation</li> </ul> <p>These activities help provide the data foundations required for developing and assessing AI systems.</p> <h3>Testing and Improving AI Solutions</h3> <p>Interns may contribute to testing, debugging and improving AI-enabled solutions.</p> <p>The work will focus on strengthening factors such as:</p> <ul> <li>Performance</li> <li>Reliability</li> <li>Explainability</li> <li>Maintainability</li> </ul> <h3>AI Agents and Generative AI</h3> <p>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.</p> <h3>Cross-Functional Collaboration</h3> <p>The role involves collaboration with engineering, product, data, risk, security and business teams to develop AI-driven solutions aligned with business requirements.</p> <h3>Documentation</h3> <p>The intern will also be expected to document technical work, including:</p> <ul> <li>Model parameters</li> <li>Prompts</li> <li>Evaluation assumptions</li> <li>Data pipelines</li> <li>System integrations</li> <li>Technical decisions</li> </ul> <p>This documentation supports reproducibility and helps teams understand how AI solutions are developed and evaluated.</p> <h3>Agile Development</h3> <p>Interns will participate in Agile development activities, which may include:</p> <ul> <li>Sprint planning</li> <li>Stand-ups</li> <li>Demonstrations</li> <li>Retrospectives</li> <li>Code reviews</li> <li>Team ceremonies</li> </ul> <h2>What Interns Will Learn</h2> <p>The internship is designed to provide practical exposure to enterprise AI development.</p> <p>Interns will learn how AI-enabled software is:</p> <ul> <li>Designed</li> <li>Built</li> <li>Tested</li> <li>Delivered</li> <li>Integrated</li> <li>Monitored</li> <li>Governed</li> </ul> <p>They will also gain exposure to machine learning, generative AI, LLM APIs, prompt-based workflows, retrieval patterns, AI agents and model evaluation.</p> <p>Additional learning areas include:</p> <ul> <li>Collaboration between Product, Engineering, Data, Security, Risk and business teams</li> <li>Responsible AI practices</li> <li>Privacy and security considerations</li> <li>Compliance</li> <li>Quality and resilience</li> <li>Technical communication</li> <li>Documentation</li> <li>Problem-solving</li> <li>Professional development and mentorship</li> </ul> <h2>Minimum Qualifications</h2> <p>Applicants must meet the stated minimum qualifications for the position.</p> <p>These include:</p> <ul> <li>Currently enrolled in a <strong>full-time bachelor&#8217;s degree programme</strong>.</li> <li>Expected graduation date between <strong>December 2027 and June 2028</strong>.</li> <li>Knowledge of <strong>Python</strong> and foundational data-processing technologies.</li> <li>Foundational understanding of computer science concepts, including data structures, algorithms, debugging, testing and problem-solving.</li> <li>Understanding of machine learning concepts such as model training, evaluation, feature engineering and experimentation.</li> <li>Experience using modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns or generative AI applications.</li> <li>Awareness of responsible AI, security, governance, compliance and reliability considerations.</li> <li>Strong communication, collaboration, documentation and learning agility.</li> </ul> <h2>Preferred Qualifications</h2> <p>American Express also lists several preferred qualifications that can strengthen an applicant&#8217;s profile.</p> <p>Experience gained through academic coursework, research, projects, open-source contributions, internships or extracurricular activities using technologies such as <strong>Python, R, Java or JavaScript</strong> is beneficial.</p> <p>Applicants may also benefit from experience or interest in:</p> <ul> <li>Machine learning</li> <li>Generative AI</li> <li>Natural language processing</li> <li>Intelligent automation</li> <li>Data engineering</li> <li>Agentic AI</li> <li>AI-enabled software development</li> <li>AI-powered applications</li> <li>Copilots</li> <li>Intelligent assistants</li> <li>Agentic workflows</li> <li>Research prototypes</li> <li>Hackathon projects</li> </ul> <p>Familiarity with <strong>NLP techniques, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, APIs, data pipelines, ETL, cloud environments, CI/CD, version control and containerised development</strong> is also considered beneficial.</p> <h2>AI Engineer Areas and Skills</h2> <p>AI Engineer interns may be assigned to different areas depending on business needs, project requirements and individual strengths.</p> <h3>AI and Machine Learning Engineering</h3> <p>Relevant skills include:</p> <ul> <li>Python</li> <li>R</li> <li>Java</li> <li>Machine learning fundamentals</li> <li>Model training</li> <li>Model evaluation</li> <li>Feature engineering</li> <li>NLP</li> <li>Embeddings</li> <li>Transformer models</li> <li>LLM APIs</li> <li>Prompt engineering</li> <li>Retrieval patterns</li> <li>AI agents</li> <li>Model documentation</li> <li>Responsible AI concepts</li> </ul> <h3>Data Engineering for AI</h3> <p>Experience with the following can be beneficial:</p> <ul> <li>Data collection</li> <li>Data preprocessing</li> <li>Data quality</li> <li>ETL</li> <li>Data pipelines</li> <li>SQL</li> <li>Big data concepts</li> <li>Data validation</li> <li>Feature pipelines</li> <li>Reproducible data workflows</li> </ul> <h3>AI-Enabled Software Engineering</h3> <p>Relevant technical areas include:</p> <ul> <li>APIs</li> <li>Microservices</li> <li>Inference endpoints</li> <li>Application integration</li> <li>Cloud-native development</li> <li>Agile delivery</li> <li>Testing</li> <li>CI/CD</li> <li>Containerisation</li> <li>Observability</li> <li>Production-like deployment practices</li> </ul> <h3>Generative AI and LLM Applications</h3> <p>Applicants may benefit from experience with:</p> <ul> <li>Prompt-based interactions</li> <li>LLM integrations</li> <li>Retrieval-augmented generation concepts</li> <li>AI output evaluation</li> <li>Grounding patterns</li> <li>Guardrails</li> <li>AI agents</li> <li>Agent orchestration</li> <li>Human-in-the-loop review</li> </ul> <h3>Enterprise AI Readiness</h3> <p>The internship also exposes participants to areas such as:</p> <ul> <li>Security</li> <li>Compliance</li> <li>Model governance</li> <li>Documentation</li> <li>Risk awareness</li> <li>System reliability</li> <li>Issue escalation</li> <li>Responsible AI practices</li> </ul> <h3>Cybersecurity and AI Security</h3> <p>Relevant knowledge includes secure software development, application security, identity and access management, data protection, encryption concepts, secure API design and vulnerability awareness.</p> <p>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.</p> <h2>Internship Benefits and Candidate Value Proposition</h2> <p>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.</p> <p>The company also lists benefits and support that may include:</p> <ul> <li>Competitive base salaries</li> <li>Flexible work arrangements and schedules</li> <li>Hybrid and virtual options through Amex Flex</li> <li>Access to on-site wellness centres depending on location</li> <li>Confidential counselling support through the Healthy Minds programme</li> <li>Career development and training opportunities</li> </ul> <h2>Employment Eligibility</h2> <p><strong>Employment eligibility to work with American Express in the United States is required.</strong></p> <p>The company states that it <strong>will not pursue visa sponsorship for these positions</strong>. Applicants should therefore ensure that they meet the applicable U.S. employment eligibility requirements before applying.</p> <h2>Internship Location and Work Arrangement</h2> <p>The position is associated with <strong>Atlanta, Georgia, United States</strong>, and is listed as <strong>hybrid</strong> in the opportunity title and description.</p> <p>However, the job-information section of the supplied source separately lists <strong>AMEX 18850 North 56th Street, Phoenix, Arizona</strong>, 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.</p> <h2>Application Deadline</h2> <p>The supplied job information lists the application closing date as:</p> <p><strong>October 1, 2026 at 03:59</strong></p> <p>Applicants are encouraged to submit their applications before the deadline rather than waiting until the final hours.</p> <h2>How to Apply</h2> <p>Interested students should apply through the official American Express careers platform.</p> <p>Applicants should:</p> <ol> <li>Review the AI Engineer Intern position and its requirements.</li> <li>Confirm that they meet the bachelor&#8217;s degree and expected graduation requirements.</li> <li>Review the technical qualifications, particularly Python, computer science, machine learning and AI experience.</li> <li>Ensure they meet U.S. employment eligibility requirements.</li> <li>Prepare an application highlighting relevant academic projects, research, internships, extracurricular activities or technical experience.</li> <li>Submit the application before the stated deadline.</li> </ol> <p><a href="https://careers.americanexpress.com/en/sites/CX_1/job/26011796" target="_blank" rel="noopener">Apply through American Express Careers</a></p> <h2>Key Details</h2> <table> <thead> <tr> <th>Detail</th> <th>Information</th> </tr> </thead> <tbody> <tr> <td><strong>Opportunity</strong></td> <td>AI Engineer Intern</td> </tr> <tr> <td><strong>Company</strong></td> <td>American Express</td> </tr> <tr> <td><strong>Programme</strong></td> <td>Campus Undergraduate Summer Internship Program</td> </tr> <tr> <td><strong>Duration</strong></td> <td>10 weeks</td> </tr> <tr> <td><strong>Session</strong></td> <td>Summer 2027</td> </tr> <tr> <td><strong>Academic Level</strong></td> <td>Bachelor&#8217;s degree candidate</td> </tr> <tr> <td><strong>Expected Graduation</strong></td> <td>December 2027 – June 2028</td> </tr> <tr> <td><strong>Work Arrangement</strong></td> <td>Hybrid</td> </tr> <tr> <td><strong>Primary Location Listed</strong></td> <td>Atlanta, Georgia, USA</td> </tr> <tr> <td><strong>Employment Eligibility</strong></td> <td>U.S. work eligibility required</td> </tr> <tr> <td><strong>Visa Sponsorship</strong></td> <td>Not provided</td> </tr> <tr> <td><strong>Job Category</strong></td> <td>Technology</td> </tr> <tr> <td><strong>Posting Date</strong></td> <td>August 17, 2026</td> </tr> <tr> <td><strong>Application Deadline</strong></td> <td>October 1, 2026 at 03:59</td> </tr> </tbody> </table> <p>The source&#8217;s job-information section also lists a Phoenix, Arizona location and &#8220;High School Graduate&#8221; as the degree level, which conflicts with the detailed AI Engineer qualifications specifying a full-time bachelor&#8217;s degree and Atlanta, Georgia. Applicants should rely on the live application page for the final posting details.</p> <h2>Conclusion</h2> <p>The <strong>American Express AI Engineer Summer Internship 2027</strong> 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.</p> <p>The 10-week internship combines technical learning with hands-on project experience, mentorship and collaboration across engineering, product, data, security, risk and business teams.</p> <p>Students graduating between <strong>December 2027 and June 2028</strong> 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 <strong>October 1, 2026 deadline</strong>.</p> <p><a href="https://careers.americanexpress.com/en/sites/CX_1/job/26011796" target="_blank" rel="noopener">Apply Now – American Express Careers</a></p> <p>Discover more opportunities on the <a href="https://opportunitiesforyouth.org/?s=internship" target="_blank" rel="noopener">OFY Webpage</a>.</p> <p>&nbsp;</p> <p>The post <a rel="nofollow" href="https://opportunitiesforyouth.org/2026/09/08/american-express-ai-engineer-summer-internship-2027-in-usa-apply-for-10-week-technology-internship/">American Express AI Engineer Summer Internship 2027 in USA | Apply for 10-Week Technology Internship</a> appeared first on <a rel="nofollow" href="https://opportunitiesforyouth.org">Opportunities for Youth</a>.</p>