Sr AI Engineer II

American Express • Sunrise, FL

4d

About The Position

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 Enterprise Data & AI Team creates the platforms, products, and governance that power enterprise AI. Our team enables rapid experimentation, seamless deployment, and responsible operation of AI systems at scale — delivering trusted, compliant, and high-performance AI solutions that drive meaningful business outcomes, partnering with stakeholders to support use cases from inception to implementation. American Express is building an enterprise-grade Agentic AI Platform designed to enable teams to safely build, deploy, operate, discover, govern, and continuously improve AI agents at scale. We are looking for a Senior AI Engineer to help design and build the foundational platform capabilities that power agentic AI across the enterprise. This is a hands-on engineering role at the intersection of AI systems, distributed platforms, cloud infrastructure, developer tooling, and enterprise governance. This role is ideal for an engineer who wants to go beyond building individual AI applications and instead build the platform and infrastructure that enables hundreds of teams and AI agents to operate safely and reliably at enterprise scale.

Requirements

• Strong software engineering experience building production systems using languages such as Python, Java, Go, or TypeScript.
• Strong understanding of Generative AI, LLMs, agent architectures, tool/function calling, retrieval, context management, and agent orchestration.
• Experience building production applications or platforms using major model providers or AI platforms.
• Experience with Kubernetes, containers, microservices, distributed systems, and cloud-native architecture.
• Experience designing production APIs and event-driven or asynchronous systems.
• Strong understanding of modern cloud infrastructure and infrastructure-as-code practices.
• Experience with CI/CD, automated testing, production observability, and software delivery practices.
• Strong understanding of security fundamentals including identity, authentication, authorization, secrets, and least-privilege access.
• Ability to navigate ambiguous technical problems and turn emerging technologies into reliable production systems.
• Strong communication skills and ability to collaborate across engineering, architecture, product, security, and governance organizations.
• Candidates are required to have a bachelor’s degree

Nice To Haves

• Agent frameworks and orchestration technologies such as LangGraph, Semantic Kernel, Google ADK, OpenAI Agents SDK, or similar frameworks.
• Model Context Protocol (MCP) and emerging agent interoperability protocols like A2A.
• Multi-agent systems and agent-to-agent communication patterns.
• Kubernetes operators, controllers, service meshes, or sophisticated Kubernetes platform engineering.
• Agent/model gateways and intelligent model routing.
• Vector databases, retrieval systems, embeddings, and enterprise knowledge architectures.
• LLM and agent evaluation frameworks, LLM-as-judge techniques, human feedback systems, experimentation, and quality measurement.
• AI observability, distributed tracing, OpenTelemetry, Langfuse and production monitoring.
• Experience with Evals Policy engines and policy-as-code.
• AI security, prompt injection defenses, tool security, data-loss prevention, and AI-specific threat modeling.
• Platform engineering, internal developer platforms, developer portals, and enterprise service catalogs.
• Large-scale distributed systems operating in highly regulated environments.

Responsibilities

• Design and implement highly scalable components of the enterprise Agentic AI Platform.
• Own complex technical problems from architecture through production implementation and operation.
• Build distributed services and APIs supporting agent execution and lifecycle management.
• Develop integrations with major AI/model ecosystems and managed agent platforms.
• Establish common abstractions across models, agents, tools, runtimes, and providers.
• Design systems for agent identity, permissions, policy enforcement, and governance.
• Build observability, evaluation, and experimentation capabilities for production AI systems.
• Develop SDKs, tooling, and automation that dramatically improve developer productivity.
• Design reliable CI/CD and release processes for AI agents and related artifacts.
• Establish patterns for resilience, scalability, performance, security, and cost efficiency.
• Evaluate emerging agent frameworks, protocols, models, and infrastructure technologies and determine where they fit within the enterprise platform.
• Partner with product, architecture, security, risk, infrastructure, and application engineering teams.

Benefits

• Visa sponsorship may be provided for certain positions depending on factors such as business unit requirements, the nature of the position, cost, and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior