Campus Graduate Masters 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 to strengthen 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 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 team ceremonies.
- Help ensure AI systems meet expectations for reliability, safety, governance, security, privacy, compliance, and 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 understanding of LLM APIs, prompt-based 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 principles including reliability, safety, governance, security, privacy, compliance, and escalation.
- Strong communication, collaboration, documentation, and learning agility across technical and non-technical teams.
- Preferred candidates graduate between December 2026 and June 2027.
- Preferred experience includes coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
- Preferred familiarity includes NLP techniques, fuzzy matching, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, function calling, retrieval patterns, and agent workflows.
- Preferred exposure includes machine learning algorithms, APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment, monitoring, version control, testing, and collaborative software development.
- Employment eligibility to work in the United States is required; American Express will not pursue visa sponsorship.
Benefits
- Competitive base salaries and bonus incentives.
- 6% company match on the retirement savings plan and free financial coaching.
- Medical, dental, vision, life insurance, and disability benefits.
- Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need.
- More than 20 weeks of paid parental leave for all parents.
- Access to onsite wellness centers, Healthy Minds counseling support, and financial well-being resources.
- Career development and training opportunities.
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.