American Express

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

American Express
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2 months ago
Phoenix, AZ, USAEntry Level

Base Salary

$78k - $125k/yr

Responsibilities

  • Support development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance.
  • Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
  • Debug and improve AI-enabled solutions for performance, reliability, explainability, maintainability, and quality.
  • Support model training workflows, inference endpoints, prompt interactions, evaluation routines, retrieval patterns, AI agents, and agentic workflows.
  • Collaborate with engineering, product, data, risk, security, and business partners to implement responsible AI-driven solutions.
  • Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions.
  • Participate in sprint planning, stand-ups, demos, retrospectives, code reviews, and other Agile team ceremonies.
  • Help ensure AI systems meet expectations for reliability, safety, governance, security, compliance, and appropriate escalation.

Requirements

  • A master’s degree in computer science, machine learning, data science, artificial intelligence, computer engineering, software engineering, or another technical field must be earned before the full-time start date.
  • Knowledge of Python and foundational data processing technologies.
  • Foundational knowledge of data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
  • Foundational knowledge of supervised and unsupervised learning, model training, evaluation, feature engineering, and experimentation.
  • Introductory knowledge of 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 principles involving reliability, safety, governance, security, privacy, compliance, and escalation.
  • Strong communication, collaboration, documentation, and learning agility.
  • Preferred: expected master’s graduation between December 2026 and June 2027.
  • Preferred: coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular experience with Python, R, Java, JavaScript, or similar technologies.
  • Preferred: familiarity with NLP techniques and concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, function calling, retrieval patterns, or agent workflows.
  • Preferred: familiarity with machine learning algorithms, APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment, monitoring, CI/CD, version control, testing, code reviews, and collaborative software development workflows.
  • Employment eligibility to work in the United States is required; American Express will not pursue visa sponsorship.

Benefits

  • Competitive base salaries and bonus incentives are offered.
  • The retirement savings plan includes a 6% company match.
  • Free financial coaching and financial well-being support are provided.
  • Medical, dental, vision, life insurance, and disability benefits are available.
  • Flexible working arrangements may be hybrid, onsite, or virtual depending on role and business needs.
  • More than 20 weeks of paid parental leave is available for all parents for pregnancy, adoption, or surrogacy.
  • Access to global onsite wellness centers staffed with nurses and doctors is available depending on location.
  • Free confidential counseling is available through the Healthy Minds program.
  • Career development, training, and opportunities to learn new skills are provided.
American Express

About American Express

10,000+ employees

American Express builds a global payments network and issues consumer, small-business, and corporate cards, plus merchant acquiring and travel services. Revenue comes from card fees, interest and lending, discount/merchant fees, and network services. Founded in 1850 and headquartered in New York City, it operates the Amex acceptance network worldwide and offers co-branded cards and membership rewards across millions of cardmembers and merchants; ticker NYSE: AXP.

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