Sr AI Engineer II - Enterprise Architecture

About 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.

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 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

• 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: agent orchestration, retrieval-augmented generation, vector storage, and evaluation
• Practices: Strong schema, validation, and state management
• AI-assisted development: Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring

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

• 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.