Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- New York, NY
American Express2 months ago
Base Salary
$78k - $125k/yr
Responsibilities
- Support the development, testing, integration, and debugging of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance.
- Assist with data collection, preprocessing, transformation, validation, model training workflows, inference endpoints, evaluation routines, prompt-based interactions, AI agents, and agentic workflows.
- Collaborate with engineering, product, data, risk, security, and business partners to implement responsible enterprise AI solutions.
- Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions for reproducibility and knowledge sharing.
- Participate in Agile development activities including planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
- Help ensure AI systems meet expectations for reliability, safety, governance, security, privacy, compliance, and appropriate escalation.
Requirements
- Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field earned by the end of June 2027.
- Knowledge of Python and foundational data processing technologies.
- Foundational understanding of data structures, algorithms, object-oriented programming, debugging, testing, problem solving, supervised and unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Introductory understanding 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 across technical and non-technical teams.
- Preferred experience or coursework using Python, R, Java, JavaScript, or similar technologies, including academic projects, research, internships, hackathons, or open-source contributions.
- Preferred familiarity with NLP techniques, fuzzy matching, embeddings, BERT, transformers, LLMs, prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, and agent workflows.
- Preferred exposure to machine learning algorithms, APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment, monitoring, CI/CD, version control, testing, code reviews, and Agile software development.
- U.S. employment eligibility is required; American Express will not pursue visa sponsorship for these positions.
Benefits
- Competitive base salaries and bonus incentives.
- 6% company match on the retirement savings plan and free financial coaching.
- Medical, dental, vision, life insurance, disability benefits, and other holistic well-being support.
- Flexible working model with hybrid, onsite, or virtual arrangements depending on the role and business need.
- More than 20 weeks of paid parental leave for all parents.
- Access to global onsite wellness centers, counseling through the Healthy Minds program, and 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.