The Role :

As a Senior Staff Data Engineer Agentic AI, you will operate as a senior individual contributor within Amex Technology, helping define how agentic AI systems are designed, built, and operated across the company.

You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions.

This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.

You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence what gets built and how agentic systems come together across teams.

This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space.

Mentoring, developing and managing direct reports may be in scope for some of our opportunities.

What You'll Do :

- Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.

- Design, build, and operate production-grade agentic AI systems used across multiple products.

- Own and evolve shared agentic AI capabilities, including :

1. Agent frameworks and orchestration layers

2. Planning, tool use, and memory strategies

3. Retrieval and grounding (RAG) pipelines

4. LLM infrastructure, inference, and model gateways

5. Evaluation, observability, and safety tooling for autonomous systems

- Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.

- Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.

- Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.

- Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.

Technical Environment :

We dont hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.

Core engineering stack :

- Languages: Python, Go, TypeScript

- APIs and RPC: REST, gRPC (and in some areas tRPC)

- Cloud and infrastructure: AWS and/or GCP, Kubernetes

- Distributed systems: event-driven architectures, including Kafka

- Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc

Agentic AI and ML :

- Integration of commercial and open-source LLMs into agentic workflows

- Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives

- Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow

- Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)

- Across all systems, we emphasize evaluation, observability, safety, and reliability, reflecting the responsibility of deploying autonomous AI in a regulated, customer-facing environment.

What Were Looking For :

- 15+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure

- Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.

- Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.

- Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.

- Fluency with AI-assisted and agentic development workflows.

- Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.

- Ability to influence technical direction and align teams without formal authority.

- Experience in workflow engines, async processing, queues, and streaming systems.

Preferred Qualifications :

- Experience building agentic systems in fintech or other regulated industries.

- Experience as a founding engineer or early technical leader in AI-driven products.

- Demonstrated success delivering technically complex autonomous systems that customers actively rely on.

- Meaningful contributions to open-source AI or agentic frameworks.

- Familiarity with fine-tuning, model optimization and inference pipelines is a plus

- Compliance Language

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally :

- Competitive base salaries

- Bonus incentives

- Support for financial-well-being and retirement

- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

- Generous paid parental leave policies (depending on your location)

- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

- Free and confidential counseling support through our Healthy Minds program

- Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexualorientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.