The Global Banking (GB) division needs to deliver a business-friendly, best-in-class enterprise Search capability incorporating the latest technologies (including AI/LLM) and applying best practices to enhance user experiences and support product innovation.
Requirements
- Familiarity with ElasticSearch, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents.
- Knowledge of LLM frameworks such as LangChain, LangGraph, and OpenLLM.
- Basic expertise in Cloud computing and architecture (e.g., AWS).
- Knowledge of AI/LLM and data product lifecycle, including discovery, data processing, model development, model deployment, and model monitoring.
Responsibilities
- Assist in developing and communicating a clear product vision and strategy for both conventional Search and Large Language Model (LLM)-based conversational User Interface (UI) initiatives within GB.
- Leverage a wide range of cutting-edge technologies such as Semantic Search, Personalized Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and Agents to enhance user experiences.
- Incorporate established search methodologies and technologies, including Boolean Search, Keyword Search, Faceted Search, and Full-Text Search, to improve overall search capabilities and user experience.
- Oversee the integration and release of Search and LLM technologies into GB products and services.
- Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products.
- Support the design and architecture of the solutions while focusing on various stages of the Software Development Lifecycle (SDLC).
- Understand of operationalizing AI products responsibly through MLOps pipeline.
Other
- 1-3+ years of experience in Search / LLM product management or analytics.
- Strong collaboration skills, with the ability to positively influence technology teams and stakeholders.
- Collaborate with internal stakeholders, including business leaders, data scientists, engineers, and designers, to gather requirements, define product features, and ensure successful product delivery.
- Experience in Financial Services or other highly regulated industries.
