AI Engineer III - Global Dining Technology

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 Technology organization enables and accelerates the company’s growth

strategies, delivering global capabilities and services in support of Amex’s

customers and colleagues, while maintaining 24/7 servicing and availability to

ensure an uninterrupted, high-quality customer experience. Technology provides

the foundation for everything we do in the company while driving differentiation

through building and leveraging innovative technology and data insights.

The U.S. Consumer Services and Membership Digital Experiences Technology team

(USCDT) brings together foundational strategic technology capabilities in

digital experience engineering (Mobile and Web), marketing and advertising

technology, enterprise communications, travel and lifestyle, and dining

technology. It employs a ground-breaking focus with development responsibilities

for customer-facing capabilities that deepen and expand digital engagement, as

well as core technical capabilities that cut across business lines and customer

segments.

American Express Global Dining brings together world-class experiences through

platforms like Resy, Tock, and Rooam, creating seamless connections between

diners and restaurants, and the broader Amex Membership ecosystem. Our mission

is to define the future of hospitality and dining through technology, data, and

design.

As part of Team Amex, you’ll experience a culture built on innovation, shared

values, and an unwavering commitment to back our customers and

colleagues. You’ll have the support, flexibility, and autonomy to make an impact

while helping shape the future of how people discover, book, and enjoy dining

experiences worldwide.

At American Express, AI is reshaping the future of commerce and redefining the

experiences our commercial customers and card members expect. Within Amex

Technology, we are building platforms, products, and governance that enable

agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is on agentic AI development: designing intelligent, adaptive systems

that can plan, reason, and act across complex workflows with appropriate levels

of autonomy. These systems power autonomous workflows, decision support, and

customer-facing experiences—while meeting the high standards for security,

explainability, reliability, and compliance required in financial services.

We partner closely with product, design, and business teams to deliver agentic

capabilities that reduce operational friction, improve decision-making, and

transform how customers interact, transact, and grow.

The Role

As an AI Engineer III – Agentic AI, you will be a hands-on builder contributing

to the development of production agentic AI systems that operate on real

financial data and serve real customers.

You will work alongside experienced engineers, product managers, and designers

to design, build, and ship AI-powered features, while learning how to operate

within a regulated, customer-facing environment. This role offers strong

mentorship and opportunities to grow your technical depth in LLMs, agentic

systems, and production AI engineering.

This is not a research-only role. You will write production code, contribute to

system design discussions, and help operate what you build after launch, with

support and guidance from more senior engineers.

RESPONSIBILITIES

Contribute to the design and implementation of LLM-powered and agentic product

features.

Build and extend agentic AI workflows that reason over context, call tools, and

perform actions under guidance from senior engineers.

Help implement and maintain retrieval-augmented generation (RAG) pipelines over

financial data, with an emphasis on correctness and safety.

* Contribute to shared AI infrastructure such as LLM services, orchestration

components, and evaluation or monitoring tooling.

* Participate in operating AI systems in production, including monitoring,

debugging, and improving reliability and performance.

* Collaborate closely with product and design partners, learning to translate

customer needs into technical solutions.

Technical Environment

We don’t hire to a narrow checklist, but candidates should be excited to grow in

a modern, enterprise-scale engineering environment with a focus on agentic AI.

Core engineering stack

* Languages: Python, Go, TypeScript

* Cloud and infrastructure: AWS and/or GCP, Kubernetes

* APIs and services: REST, gRPC

* Distributed systems: event-driven architectures, including Kafka

Agentic AI and ML

* Commercial and open-source LLMs integrated into agentic workflows

* Tooling for agent orchestration, retrieval-augmented generation, vector

storage, and evaluation

* Schema validation and structured data handling

AI-assisted development

* Use of AI-assisted and agentic development tools for design, implementation,

testing, debugging, and refactoring

* Learning how to apply these tools responsibly while maintaining

production-quality standards

* All systems are built to meet high standards for reliability, security, and

auditability, reflecting the responsibility of deploying autonomous AI in a

financial services environment

QUALIFICATIONS

* 4+ years of professional software engineering experience.

* Some hands-on experience building or contributing to AI-powered features,

LLM-based applications, or applied ML systems (professional or

project-based).

* Solid engineering fundamentals in at least one backend language (Python, Go,

or TypeScript).

* Familiarity with APIs, basic cloud concepts, and modern development

practices.

* Interest in agentic AI systems, autonomy, and AI-assisted development

workflows.

* Willingness to learn, take feedback, and grow technical ownership over time.

* Comfort working in collaborative, cross-functional teams.

* A strong customer mindset and curiosity about real-world problem solving.

Preferred Qualifications

• * Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through
• work, coursework, or personal projects.
• * Internship or early-career experience in fintech or other regulated
• environments.
• * Contributions to open-source projects, hackathons, or side projects related
• to AI or developer tooling.
• 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.
• 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.