Agentic AI Engineer - Global Infrastructure

The Enterprise Technology Services organization partners with every part of the

American Express business to power the company’s growth and innovation with

trust and efficiency, and drive competitive differentiation with speed. We

support the delivery and operations of technology, digital, and data

capabilities, platforms, and services globally. Specifically, our team is

responsible for the company’s technology engineering, architecture, and

infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality

experience for customers and colleagues. We also provide product management for

core enterprise platforms, and lead technology risk and information security,

enterprise data governance and platforms, digital product and design, and

enterprise AI platforms on behalf of the company.

This AI Engineer II will build and optimize trained AI/ML models, enhance data

pipelines for scalability, support model integration with production systems,

and ensure adherence to enterprise AI standards while collaborating

cross-functionally to refine AI strategies.

RESPONSIBILITIES

* Develops and optimizes AI/ML models, ensuring seamless integration with

production environments

* Builds and enhances data pipelines to support scalable and efficient AI

processing

* Participates in designing and reviewing AI architectures, ensuring alignment

with enterprise standards

* Implements model monitoring and evaluation techniques to improve AI system

performance over time

* Ensures AI solutions adhere to governance, security, and compliance

requirements

* Provides support and troubleshooting for AI models and data processing

pipelines in production

* Collaborates effectively with teams in product and the business to align

technology initiatives with business objectives

* Performs standard tasks within established procedures and guidelines; works

within established guidelines with some degree of independence for routine

tasks

* Develops and integrates components of production AI systems, including ML

models or LLM-based services, with moderate independence

* Contributes to AI capabilities such as model training pipelines, inference

services, and retrieval workflows, improving performance and reliability

* Applies enterprise standards for observability, safety, and compliance in

implemented AI components

QUALIFICATIONS

Education and Knowledge:

* Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or

comparable experience; advanced degree preferred

* Knowledge of Python and data processing technologies

* Knowledge of natural language processing techniques like fuzzy wuzzy and

models such as BERT, Transformer models, and their real-world applications

* Working knowledge of machine learning techniques and model evaluation

approaches

* Understanding of modern AI architectures including LLM integration patterns,

retrieval-augmented generation (RAG), and basic orchestration concepts

Work Experience:

* Experience in software development with a focus on machine learning,

generative AI, Big Data, and prompt engineering

* Experience in working with large language models (LLMs), especially GPT-3.5/4

or similar AI models

* Experience in languages such as Python or R

* Experience in deploying AI models and pipelines using machine leanring

operations tools

* Experience in machine learning algorithms and experience applying them to

real-world problems

* Experience in continuous integration/continuous deployment pipelines and

containerized deployments

* Experience in building and maintaining data pipelines and extract, transform,

and load processes

* Experience developing and deploying machine learning or LLM-enabled

applications in production or near-production environments

* Practical experience with distributed systems concepts, APIs, and

cloud-native infrastructure supporting AI workloads

* Moderate expertise in a specific technical domain

Employment eligibility to work with American Express in the United States is

required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of

innovation, shared values

[https://www.americanexpress.com/en-us/company/who-we-are/]and Leadership

Behaviors, and an unwavering commitment to back our customers, communities, and

colleagues. From delivering differentiated products to providing world-class

customer service, we operate with a strong risk mindset, ensuring we continue to

uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our 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.

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

[https://www.americanexpress.com/en-us/colleagues/benefits].

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

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.

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The below 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.