Job DescriptionAs 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
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.
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- 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.
- 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.
About the TeamWe 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.
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.
