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.

What You'll Do :

Technical Environment :

Core engineering stack :

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.

- 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.

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.

- 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.

What We're Looking For :

- 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.

Compliance Language :

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

- Support for financial-well-being and retirement

- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

- Generous paid parental leave policies (depending on your location)

- 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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.