Associate / Junior

In Office / Hybrid

Job Description:

As a Senior AI Engineer II – 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.

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

8+ 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.
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 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.

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