Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Palo Alto, CA
American Express2 months ago
Palo Alto, CA, 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-based interactions, evaluation routines, retrieval patterns, AI agents, and agentic workflows.
- Collaborate with engineering, product, data, risk, security, and business partners to implement 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 activities.
- Help ensure AI systems meet expectations for reliability, safety, governance, security, compliance, and escalation.
Requirements
- Bachelor’s degree in computer science, machine learning, data science, artificial intelligence, computer engineering, software engineering, or another technical field required before the full-time start date.
- Foundational knowledge of Python and data processing technologies.
- Foundational understanding of data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
- Foundational understanding of supervised and unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Introductory understanding of LLM APIs, prompt interactions, retrieval patterns, AI tools, or generative AI applications.
- Ability to support AI/ML development, testing, documentation, integration, or data pipeline work under guidance.
- Awareness of responsible AI, reliability, safety, governance, security, privacy, compliance, and escalation practices.
- Expected bachelor’s degree graduation between December 2026 and June 2027 preferred.
- Experience through coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies preferred.
- Familiarity with NLP, fuzzy matching, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, function calling, retrieval patterns, or agent workflows preferred.
- Exposure to machine learning algorithms, APIs, data pipelines, ETL, cloud environments, containerized development, model deployment, monitoring, CI/CD, version control, testing, and code reviews preferred.
- United States employment eligibility required; American Express will not pursue visa sponsorship.
Benefits
- Competitive base salaries and bonus incentives are offered, though no specific compensation figures are stated.
- 6% company retirement savings plan match and financial coaching are provided.
- Medical, dental, vision, life insurance, and disability benefits are provided.
- Flexible working arrangements may be onsite, hybrid, or virtual depending on the 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 skill-building opportunities are available.
Tech Stack
Categories
About American Express
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.