Vice President-Applied AI/ML Lead

Join the Payments and Global Banking Technology team as a Vice President and 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 scalable systems that solve real business problems in banking and financial services.

You will work within a team of engineers under the guidance of senior technical leaders, delivering high-quality features and systems end-to-end while developing your expertise in generative AI application development.

As a Vice President - Applied AI/ML Lead in Payments and Global Banking Technology, you design and build production search, conversational AI, and agentic workflow systems powered by generative AI.

You deliver high-quality features and systems end-to-end within established architectural frameworks.

You collaborate with senior technical leaders and cross-functional partners to translate requirements into scalable implementations.

You contribute to engineering quality through strong implementation practices and peer review.

This role emphasizes practical application-layer engineering, including retrieval pipelines, conversational experiences, and workflow automation patterns, with a focus on reliability, performance, and maintainability in non-deterministic AI systems.

Job responsibilities:


* Implement and iterate on production search, chatbot, and agentic workflow features, writing and reviewing code daily.


* Build retrieval pipelines (hybrid search, re-ranking, chunking, and embedding strategies) and integrate them into conversational AI systems with dialogue management and backend services.


* Implement components of agentic workflows (tool use, orchestration, error recovery, and human-in-the-loop patterns) within established architectural frameworks.


* Troubleshoot and resolve systems issues related to latency, reliability, and observability in non-deterministic AI systems.


* Follow and contribute to team technical standards, design patterns, and best practices for generative AI-powered applications.


* Participate in design reviews and code reviews to maintain engineering quality.


* Collaborate with product and business stakeholders to understand requirements and deliver technical solutions.

Required qualifications, capabilities, and skills:


* 6+ years of hands-on software engineering experience building production systems at scale, with exposure to search, conversational AI, or workflow automation.


* Proficiency in Python, application programming interface (API) design, and microservices architecture.


* Working understanding of large language model (LLM) capabilities and limitations, including prompt engineering, context management, and output parsing, and practical use of models as components.


* Experience with at least one of the following: retrieval systems, conversational AI, or agentic architectures (tool calling, planning, and orchestration).
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