Sr AI Engineer II - Enterprise Architecture
About The Position
American Express is building enterprise platforms, products, and governance to enable agentic AI systems to operate responsibly and at scale. The Senior AI Engineer is a hands-on builder who turns complex problems into production-grade agentic systems using real financial data and serving customers within regulatory requirements. The role spans customer-facing LLM-powered features, systems that automate financial workflows, and internal AI capabilities that help engineers build safely and efficiently. It is an end-to-end engineering role involving solution design with product and design partners, production implementation, launch, and ongoing ownership. This is not a research-only role; it calls for autonomy, sound judgment, and technical innovation within a regulated financial-services environment. The engineering environment includes Python, Go, and TypeScript; AWS and/or GCP; Kubernetes; REST and gRPC services; and event-driven distributed systems such as Kafka. AI work involves commercial and open-source LLMs, agent orchestration, RAG, vector storage, evaluation, monitoring, and AI-assisted development workflows. Systems must meet high standards for reliability, security, and auditability.
Requirements
- At least 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 reliable, shipped products.
- A strong product mindset and customer orientation.
Nice To Haves
- 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.
Responsibilities
- 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 actions, and recover gracefully from failure.
- Architect and implement production-grade RAG pipelines over sensitive financial data, meeting requirements for correctness, auditability, and safety.
- Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling.
- Own production systems, including their reliability, latency, cost, and failure modes.
- Work closely with product and design partners, with a focus on customer outcomes.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
