Job DescriptionAs a Director of AI Engineering - Agentic AI, you will lead the strategy, architecture, and execution of agentic AI systems across Amex Technology. You will be responsible for building and leading high-performing engineering teams that define how agentic AI solutions are designed, built, and operated at scale across the enterprise.
This role combines deep technical leadership with people leadership. You will set technical direction, establish architectural standards, and ensure delivery of reliable, scalable agentic AI platforms-while also hiring, developing, and managing engineering talent. Your impact will come from shaping long-term strategy, cultivating strong engineering culture, and enabling teams to turn ambiguity into production-grade systems.
You will operate at the intersection of vision and execution: guiding system design, reviewing critical architectures, partnering on complex technical decisions, and ensuring engineering excellence across multiple teams. While you may engage in hands-on technical discussions, your primary focus will be organizational leadership, technical oversight, and execution at scale rather than individual contribution.
You will work closely with Product, UX, and enterprise stakeholders to shape the vision and roadmap for agentic AI experiences. Product teams own prioritization, but as a Director you will influence investment strategy, platform direction, and cross-team integration to ensure cohesive, enterprise-ready solutions.
ResponsibilitiesWhat 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.
- Demonstrate accountability while leading people with passion, enthusiasm, loyalty and integrity. Own and lead HR processes such as performance reviews, talent development, etc.
- Recruit top talent with technical skills, growth potential, design sensibility, and emotional intelligence.
- Lead teams in iterative product development using lean principles.
- Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.
Technical EnvironmentWe 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- 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
- Strong experience leading and growing teams of fellow engineers through complex deliveries
- A history of taking projects through the entire software development lifecycle from inception to delivery as a technical leader
- Demonstrated experience coaching, mentoring, and developing technical professionals.
- Ability to lead engineering teams and negotiate or influence across organizational boundaries.
- 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
- Experience in modern application development technologies such as React, Kotlin, TypeScript, CircleCI, iOS/Swift, and Android
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.
