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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AI Engineering - Agentic AI - **Company:** American Express Company - **Location:** Palo Alto, United States (Remote available) - **Experience:** Expert - **Salary:** $144,250.0 - $256,250.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Program Optimization, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, Systems Architecture, TypeScript, Pytorch, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Kubernetes, HuggingFace, Production Code, Apache Kafka, Virtual Agents, Stream Processing, Data Pipelines, Golang - **Published:** June 30, 2026 - **Apply:** https://dejobs.org/x/x/27F2328158CD43FD9BDEF1D4B1E96BFA/job/ ## About the Role * 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., * 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. ## Description 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. ## 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. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)