AI Engineer III

Posted 14 Days Ago
2 Locations
Hybrid
Mid level
Fintech • Financial Services
The Role
Design, implement, and operate LLM-powered and agentic AI features and shared infrastructure. Build RAG pipelines over financial data, integrate LLMs and tools into agentic workflows, and support production reliability, monitoring, and evaluation. Collaborate with product and design to translate customer needs into safe, compliant AI solutions.
Summary Generated by Built In

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 this 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. 

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. 

 

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. 

 

Skills Required

  • 4+ years of professional software engineering experience
  • Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems
  • 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
  • Strong customer mindset and curiosity about real-world problem solving
  • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks (work, coursework, or 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

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Healthcare Strength Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
  • Retirement Support Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
  • Leave & Time Off Breadth Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.

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The Company
HQ: New York, NY
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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