You enjoy contributing to the future of product innovation, supporting value creation for customers, assisting in successful launches, and meeting expectations. Join our dynamic team and make a meaningful impact by supporting the delivery of high-quality products that resonate with clients.

As a Product Associate in Global Banking (GB), you will assist in delivering a business-friendly, best-in-class enterprise Search capability incorporating the latest technologies (including AI/LLM) and applying best practices. You are expected to support the design and architecture of the solutions while focusing on various stages of the Software Development Lifecycle (SDLC).

Job 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. Align product goals with business objectives and market needs.

• 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.

• Collaborate with internal stakeholders, including business leaders, data scientists, engineers, and designers, to gather requirements, define product features, and ensure successful product delivery.

• Oversee the integration and release of Search and LLM technologies into GB products and services. Ensure that solutions are scalable, secure, and compliant with regulatory requirements.

• Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products. Use data-driven insights to support informed decisions and drive continuous improvement.

Required Qualifications, Capabilities, and Skills

• 3-5+ years of building and launching AI / LLM products.

• Strong collaboration skills, with the ability to positively influence technology teams and stakeholders.

• Knowledge of AI/LLM and data product lifecycle, including discovery, data processing, model development, model deployment, and model monitoring.

• Familiarity with Elastic Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents.

• Knowledge of LLM frameworks such as Lang Chain, Lang Graph, and OpenLLM.

• Understanding of operationalizing AI products responsibly through MLOps pipeline.

• Basic expertise in Cloud computing and architecture (e.g., AWS).

Preferred Qualifications, Capabilities, and Skills

• Search Product expeirence preferred, but nor required.

• Experience in Financial Services or other highly regulated industries.