Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ

American Express•Phoenix, AZ

5d•$78,000 - $124,750

About The Position

The AI Engineer I will join American Express’s Enterprise Technology Services organization in a full-time graduate program, contributing to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions. The organization supports technology engineering, architecture, infrastructure, enterprise platforms, technology risk and information security, enterprise data governance, digital products, and enterprise AI platforms globally. The role may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. The engineer will collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely. Work is performed under guidance and includes development, testing, integration, documentation, and support for enterprise expectations around reliability, safety, governance, security, and compliance.

Requirements

Must have earned a master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
Knowledge of Python and foundational data-processing technologies.
Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
Foundational understanding of machine learning concepts, including supervised and unsupervised learning, model training, evaluation, feature engineering, and experimentation.
Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI-powered tools, or generative AI applications.
Ability to support AI/ML development, testing, documentation, integration, or data-pipeline activities under guidance.
Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance.
Strong communication, collaboration, documentation, and learning agility, with the ability to work effectively across technical and non-technical teams.
Must be eligible to work in the United States; American Express will not pursue visa sponsorship for these positions.

Nice To Haves

Expected master’s degree graduation date between December 2026 and June 2027.
Experience through coursework, research, projects, open-source contributions, internships, hackathons, 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.
Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent-workflow concepts.
Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software-engineering workflows.
Exposure to version-control systems such as Git and collaborative software-development workflows.
Curiosity about AI-powered developer tools, responsible AI practices, governance, security, model documentation, and enterprise-scale delivery.

Responsibilities

Support development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
Help debug and improve AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents, or agentic workflows.
Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned with business requirements.
Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions to support reproducibility and knowledge sharing.
Participate in Agile practices, including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
Assist in ensuring AI systems and AI-enabled features meet enterprise expectations for reliability, safety, governance, security, compliance, and appropriate escalation.

Benefits

Competitive base salaries
Bonus incentives
6% company match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive 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, regardless of gender, for pregnancy, adoption, or surrogacy
Free access to global onsite wellness centers staffed with nurses and doctors, depending on location
Free and confidential counseling support through the Healthy Minds program
Career development and training opportunities