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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AI Engineer - Enterprise Architecture - **Company:** American Express Company - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $144,250.0 - $256,250.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Program Optimization, Decision Support Systems, Distributed Systems, Python (Programming Language), Open Source Technology, Performance Tuning, Tensorflow, Software Engineering, Systems Architecture, TypeScript, Working Model 2D, Pytorch, Delivery Pipeline, Large Language Models, Backend, Event Driven Architecture, Kubernetes, HuggingFace, Production Code, Apache Kafka, Virtual Agents, Stream Processing, Data Pipelines, Golang - **Published:** August 11, 2026 - **Apply:** https://www.juju.com/job/00000000gmo5hx ## About the Role + 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. Qualifications + +10 years of software engineering expereince, 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 expereince, 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 ## Description 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. Responsibilities What You'll Do + Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design., + 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**, We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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