Job Details

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The core of our company is not just the products we offer, but the personal connections our customers have with our brand. You can create digital experiences - from payments to rewards to servicing - that keep us connected to our customers and serve them at every touchpoint. From digital servicing and lifestyle features to secure, frictionless payment options, you can make a meaningful difference in our customers’ lives and help set us apart in the industry.

The Digital Banking and Payments team is responsible for our Card Payments Processing and Digital Bank products. We are currently building platforms responsible for ACH, Wire, Bill Pay, Zelle, Debit, Checking, and Savings applications that allows teams to create products at scale and allow digital channels to deliver compelling experiences in a dramatically faster fashion

We’re looking for a Junior Generative AI Programmer to help build and optimize next-generation AI applications. You’ll work on model inference, agentic AI systems, embeddings, and clustering while collaborating closely with internal teams to ensure responsible AI use. This role is perfect for someone early in their career who is curious, collaborative, and eager to grow in the GenAI space.

Responsibilities:

• Assist in building and optimizing inference pipelines for large-scale AI deployments.

• Work with embeddings and clustering methods to enhance retrieval, personalization, and knowledge-structuring use cases.

• Apply techniques such as batching, quantization, and model distillation to improve efficiency.

• Support the design and implementation of agentic AI systems that can reason, plan, and act autonomously.

• Experiment with frameworks (e.g., LangChain, AutoGen) to prototype AI-driven workflows.

• Collaborate on integrating agents with APIs, knowledge bases, and enterprise applications.

• Partner with governance and risk teams to ensure GenAI solutions meet compliance and approval standards.

• Communicate clearly and respectfully with stakeholders across technical and non-technical groups.

• Contribute to internal knowledge-sharing through code reviews, documentation, workshops, and forums.

• Help foster a developer community that encourages experimentation, learning, and responsible innovation.

Qualifications:

• Bachelor’s degree in computer science, Engineering, Data Science, or related field (or equivalent experience).

• Proficiency in Python with exposure to AI/ML frameworks (PyTorch, TensorFlow).

• Understanding of embeddings, similarity search, and clustering algorithms.

• Familiarity with inference optimization and deployment concepts (e.g., GPU acceleration, containerization, cloud services).

• Familiarity with inference optimization and deployment concepts (e.g., GPU acceleration, containerization, cloud services).

• Strong communication skills and a collaborative temperament for working with governance and approval teams.

• Enthusiasm for learning and sharing knowledge with peers.

• Experience with agentic AI frameworks and orchestration tools (LangChain, AutoGen, Haystack).

• Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG).

• Exposure to MLOps practices (MLflow, Docker, Kubernetes).

• Contributions to developer communities, open-source projects, or AI forums.

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Hugging Face).

Qualifications

Salary Range: $89,250.00 to $150,250.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• 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 paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

• Free and confidential counseling support through our Healthy Minds program

• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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Job: Technologies

Primary Location: US-Arizona-Phoenix

Schedule Full-time

Req ID: 25020767