Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
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 Staff AI 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.
Responsibilities
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:
Agent frameworks and orchestration layers
Planning, tool use, and memory strategies
Retrieval and grounding (RAG) pipelines
LLM infrastructure, inference, and model gateways
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 don’t 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.
QualificationsWhat We’re Looking For
12+ 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
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
Work Arrangement: This role may be filled as either virtual or hybrid, depending on the selected candidate’s location and business needs. Candidates who live within commuting distance of a company office may be designated as hybrid and generally will be expected to work from the office three days per week. Candidates who do not live within commuting distance of a company office may be eligible for a virtual work arrangement, subject to company policy, business needs, and applicable law. Final work arrangement will be confirmed during the hiring process.
About UsAt 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.
About the TeamWe 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
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
Skills Required
- 12+ years building large-scale distributed systems and LLM systems 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 agentic AI stack (planning, tool use, memory, evaluation)
- Proficiency with Python, Go, and TypeScript
- Experience with REST, gRPC (and tRPC), and service/API design
- Experience with cloud platforms (AWS and/or GCP) and Kubernetes
- Experience with distributed/event-driven systems and streaming (Kafka) and async/workflow engines
- Familiarity with agent/orchestration frameworks (LangChain, LangGraph, Airflow or similar)
- Model-level experience with PyTorch and Hugging Face ecosystem; exposure to TensorFlow
- Strong practices in schema, validation, and state management (e.g., Pydantic, Zod)
- Experience integrating commercial and open-source LLMs into production workflows and RAG pipelines
- Experience building agentic systems in fintech or other regulated industries
- Experience as a founding engineer or early technical leader in AI-driven products
- Meaningful contributions to open-source AI or agentic frameworks
- Familiarity with fine-tuning, model optimization, and inference pipelines
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
