Sr AI Engineer I - Enterprise Architecture

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📍 Phoenix, AZ, United StatesFull time

About this role

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 – 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.

What We’re Looking For

  • 5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
  • A track record of shipping AI-powered or agentic systems that real users depend on.
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • Hands-on experience with modern LLM tooling and agentic patterns and architectures.
  • Fluency with AI-assisted and agentic development workflows.
  • Strong sense of ownership and sound technical judgment.
  • Comfort operating with ambiguity and turning it into shipped reliable product.
  • A strong product mindset and customer orientation.


Preferred Qualifications

  • Experience building agentic systems in fintech or other regulated industries.
  • Experience as a founding engineer or early technical contributor in high-growth environments.
  • Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
  • Meaningful open-source contributions, particularly in AI or developer tooling.

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 our 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.

Frequently Asked Questions

Is the salary disclosed for the Sr AI Engineer I - Enterprise Architecture position at American Express?
The salary for this Sr AI Engineer I - Enterprise Architecture role at American Express is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Sr AI Engineer I - Enterprise Architecture position at American Express located?
This Sr AI Engineer I - Enterprise Architecture role at American Express is based in Phoenix, AZ, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Sr AI Engineer I - Enterprise Architecture role at American Express full-time or part-time?
This is listed as a Full time position. It is posted as a Sr AI Engineer I - Enterprise Architecture role at American Express.
How do I apply for the Sr AI Engineer I - Enterprise Architecture position at American Express?
Click the "Apply Now" button on this page. You will be redirected to American Express's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Sr AI Engineer I - Enterprise Architecture job at American Express posted?
This Sr AI Engineer I - Enterprise Architecture position at American Express was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Sr AI Engineer I - Enterprise Architecture
American Express
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