Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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 Staff Software 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.

We are primarily looking for senior individual contributors; 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: 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.

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

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.

10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production

Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. 10+ years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production

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 worflow 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.

At 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.