Prepin
Log in
American Express

engineering opportunity

Senior Agentic AI Engineer II - Global Infrastructure

The Senior AI Engineer II leads the development of advanced machine learning frameworks, generative AI technologies, and natural language processing models to solve complex business problems. They are responsible for supervising team members, ensuring model compliance, and integrating AI solutions into scalable production systems.

New York, New York, United StateshybridFULL_TIME

Posted

About the role

What will you do at American Express?

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.

The Sr. AI Engineer II leads the development of advanced AI/machine learning

frameworks and innovative natural language processing models, translating

complex business needs into scalable models, optimizing Big Data pipelines,

ensuring compliance, and foster growth of individuals on the team.

RESPONSIBILITIES

* Supervises and mentors AI Engineers and cross-functional team of colleagues

in specific tasks or projects, fostering their professional growth and

ensuring adherence to best practices

* Ensures seamless integration of AI models into production systems,

collaborating closely with cross-functional teams to facilitate smooth

integration and ensure alignment and functionality

* Monitors and ensures compliance with model governance, security, and

compliance standards, continuously monitoring models to ensure adherence to

standards and proactively addressing issues

* Provides guidance and support to junior AI engineers, fostering professional

growth and development within the team

* Drives the design and development of sophisticated AI/machine learning

frameworks for large-scale data processing, focusing on prompt engineering

and generative AI technologies

* Directs innovative approaches to apply machine learning algorithms for prompt

engineering and natural language processing, solving complex problems and

improving model performance

* Captures complex business requirements and translates them into sophisticated

AI/machine learning-driven solutions, gathering and interpreting intricate

business needs to develop advanced models and solutions

* Enhances and automates critical business processes by building and optimizing

advanced Big Data pipelines and AI-based systems

* Leads implementation of new natural language processing models to classify

and analyze complex business-related text data, ensuring accurate

classification and insightful analysis

* Establishes and sustains comprehensive machine leanring operations pipelines

that support scalable deployment, monitoring, and maintenance of AI models

* Leads design and evolution of complex, distributed AI systems, integrating

multiple models, LLMs, and data services into cohesive platforms

* Drives development of advanced AI capabilities including multi-stage

retrieval pipelines, autonomous workflows, orchestration frameworks, and

system-level evaluation

* Establishes and enforces standards for AI reliability, safety,

explainability, observability, and regulatory compliance across projects

* Collaborates and co-creates effectively with teams in product and the

business to align technology initiatives with business objectives

* Manages complex tasks, requiring an in-depth evaluation of variable factors

of moderate to substantial complexity

* Impacts multiple projects across multiple teams, influencing technical areas

within the function

* Makes critical decisions that directly impact project success and operational

efficiency

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 such as Big Data

(Hadoop, Spark)

* Knowledge of natural language processing techniques like fuzzy wuzzy and

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

* Deep expertise in machine learning, including tradeoffs in model selection,

evaluation, and optimization

* Expert-level understanding of modern AI architectures, including LLM systems,

agentic workflows, retrieval strategies, and scalable orchestration patterns

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, R, Java, or C++

* 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

* Extensive experience architecting and deploying large-scale AI systems in

production environments

* Experience leading development of distributed AI platforms, real-time

inference systems, and cloud-native AI services

* Advanced expertise in a technical domain, and moderate expertise across

several different domains

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.

US Job Seekers - Click to view the “Know Your Rights

[https://www.eeoc.gov/poster]” poster. If the link does not work, you may access

the poster by copying and pasting the following URL in a new browser window:

https://www.eeoc.gov/poster.

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.

Which skills does this role require?

Cloud-native AIDistributed SystemsModel GovernanceSenior AI EngineerCloud-nativeCI/CDContainerizationRetrieval PipelinesExplainabilityRegulatory ComplianceSoftware EngineeringInfrastructureArchitectureData ScienceMachine Learning OperationsEnterprise AIAPI

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsInterview QuestionsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.