Executive Director- Applied AI/ML Lead

Join the Payments and Global Banking Technology team as an Executive Director and Senior Principal Engineer for Applied AI/ML.

This is a hands-on, code-every-day role focused on application-layer engineering, using large language models as components within robust, scalable systems.

You will design and build production search, conversational AI, and agentic workflow systems powered by generative AI to solve real business problems in banking and financial services.

You will work with a team of engineers, but this is not a people management role.

As an Executive Director-Applied AI/ML Lead in Payments and Global Banking Technology, you serve as the senior hands-on technical authority designing and building production search, conversational AI, and agentic workflow systems powered by generative AI.

You lead through technical excellence-setting the bar, unblocking hard problems, and increasing team effectiveness through craft and judgment.

You make architecture and implementation decisions across retrieval strategies, agent design, orchestration patterns, and system design.

You focus on building robust, scalable systems that solve real business problems in banking and financial services.

You will collaborate closely with engineering, product, and business stakeholders to translate requirements into high-quality technical solutions, while raising engineering standards through design reviews, code reviews, and mentorship.

Job responsibilities:


* Architect, design, and personally implement production-grade search, chatbot, and agentic workflow systems, writing and reviewing code daily.


* Serve as the organization's senior technical authority on large language model (LLM)-powered applications, owning decisions around retrieval strategies, agent design, orchestration patterns, and system architecture.


* Design and build scalable retrieval pipelines (hybrid search, re-ranking, chunking, and embedding strategies) and conversational AI systems with robust dialogue management and backend integration.


* Design and implement agentic workflows (tool use, multi-step planning, orchestration, error recovery, and human-in-the-loop patterns) for complex business processes.


* Solve hard systems challenges, including latency optimization, reliability at scale, observability, and evaluation of non-deterministic systems.


* Define technical standards, design patterns, and reference architectures for generative AI-powered applications across the organization.


* Elevate engineering quality through design reviews, code reviews, and technical mentorship.


* Partner with product and business stakeholders to translate requirements into technical designs.

Required qualifications, capabilities, and skills:


* 10+ years of hands-on software engineering experience building production systems at scale, with significant recent focus on search, conversational AI, or workflow automation.


* Expert-level proficiency in Python, distri...