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American Express

AI Engineer III - Agentic AI

American Express · New York, NY

  • Hybrid
  • Full-time
  • $130,000 / year
  • New York, NY

Job highlights

  • Build production agentic AI systems.
  • Develop LLM-powered product features.
  • Implement RAG pipelines over financial data.
  • Collaborate with product and design teams.
  • Operate AI systems in production environments.

About the role

About American Express

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.

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

What You’ll Do
  • 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.

Work Arrangement

This role may be filled as either virtual or hybrid, depending on the selected candidate’s location and business needs. Candidates who live within commuting distance of a company office may be designated as hybrid and generally will be expected to work from the office three days per week. Candidates who do not live within commuting distance of a company office may be eligible for a virtual work arrangement, subject to company policy, business needs, and applicable law. Final work arrangement will be confirmed during the hiring process.

About Us

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. 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.

About The Team

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 out 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 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.

Key skills/competency

  • Agentic AI
  • LLM
  • Python
  • Go
  • TypeScript
  • AWS
  • GCP
  • Kubernetes
  • REST
  • gRPC

Skills & topics

  • AI Engineer
  • Agentic AI
  • LLM
  • Python
  • Go
  • TypeScript
  • AWS
  • GCP
  • Kubernetes
  • Software Engineering

How to get hired

  • Tailor your resume: Highlight your 4+ years of software engineering experience and any AI/LLM project work. Emphasize Python, Go, or TypeScript skills.
  • Showcase AI/ML projects: Detail your contributions to AI features, LLM applications, or applied ML systems, whether professional or personal.
  • Demonstrate foundational skills: Clearly state your proficiency in backend languages, APIs, cloud concepts, and modern development practices.
  • Express interest and willingness to learn: Mention your enthusiasm for agentic AI, autonomy, and AI-assisted development, along with your eagerness to grow.
  • Prepare for technical and behavioral interviews: Be ready to discuss your coding experience, system design, and how you collaborate in teams.

Technical preparation

Practice Python, Go, and TypeScript coding.,Build a project using LLMs or agent frameworks.,Familiarize yourself with AWS or GCP services.,Study RAG and distributed system concepts.

Behavioral questions

Describe a complex AI system you helped build.,How do you ensure AI system reliability and safety?,Share an example of cross-functional collaboration.,How do you approach learning new AI technologies?

Frequently asked questions

What is the work arrangement for an AI Engineer III at American Express?
The AI Engineer III role at American Express can be filled as either virtual or hybrid. If you are within commuting distance of an office, you may be designated as hybrid, working remotely three days a week. If you are not within commuting distance, you may be eligible for a virtual work arrangement, subject to company policy and business needs. The final work arrangement will be confirmed during the hiring process.
What are the key technical skills required for the AI Engineer III role?
The AI Engineer III role requires solid engineering fundamentals in at least one backend language such as Python, Go, or TypeScript. Familiarity with APIs, basic cloud concepts, and modern development practices is also necessary. Experience with LLM tooling, prompt engineering, RAG, or agent frameworks is preferred.
Is this AI Engineer III role focused on research or production development?
This AI Engineer III role is hands-on and production-focused. While there are opportunities to learn and grow in LLMs and agentic systems, the role involves writing production code, contributing to system design, and operating built systems, rather than being solely research-oriented.
What kind of AI systems will I be working on as an AI Engineer III at American Express?
As an AI Engineer III, you will focus on agentic AI development. This includes designing and building intelligent, adaptive systems that can plan, reason, and act across complex workflows with autonomy. You will work with LLM-powered features and retrieval-augmented generation (RAG) pipelines over financial data.
What are the career growth opportunities for an AI Engineer III at American Express?
American Express offers strong mentorship and opportunities for AI Engineer III candidates to grow their technical depth in LLMs, agentic systems, and production AI engineering. The company provides career development and training opportunities to help colleagues learn new skills and develop as leaders.
What is the expected experience level for an AI Engineer III at American Express?
The AI Engineer III role requires at least 4 years of professional software engineering experience. Additionally, some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems is expected, either professionally or through projects.
Does American Express offer visa sponsorship for the AI Engineer III position?
American Express may provide visa sponsorship for certain positions, including the AI Engineer III role, depending on business unit requirements, the nature of the position, cost, and applicable laws. This will be evaluated on a case-by-case basis.