Director - Data Engineering - Agentic AI

American ExpressNew York, NY
$144,250 - $256,250

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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

Responsibilities

  • 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.

Benefits

  • Comprehensive support for your holistic well-being
  • Many opportunities to learn new skills
  • Develop as a leader
  • Grow your career
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