AI Engineer III - Enterprise Architecture
About The Position
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. At American Express, AI is reshaping the future of commerce and refining 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 – 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.
Requirements
- 2+ 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.
- Candidates are required to have a bachelor’s degree
Nice To Haves
- 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.
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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
