Senior Software Engineer - Gen AI, Python

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 a Senior AI Engineer I – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements. 
• You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently. 
• This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment. 

What You’ll Do:

• Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances. 
• Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure. 
• Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety. 
• Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology. 
• Own the systems you build in production, including reliability, latency, cost, and failure modes. 
• Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution. 

Technical Environment:

• We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis 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. 
• Strong schema, validation, and state management practices.

AI-assisted development: 

• Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring.
• Thoughtful use of these tools while maintaining production-quality engineering 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. 
• Translate business requirements into technical solutions and architecture
• Evaluate tools, frameworks, and platforms for optimal solution design
• Collaborate with stakeholders to define roadmaps and delivery plans

Development:

• Hands-on coding in Python (mandatory)
• Build backend services, AI pipelines, and integrations
• Work with vector databases, embeddings, and search systems