Lead Technical Product Engineer

About the Function

Key Responsibilities

• Drive discussions around new and emerging platforms and help determine the best way to utilize new technologies to build business solutions.
• Synthesize current state processes, operating models, and ways of working in order to define new, digitally oriented clarity on requirements. The role will work across a diverse stakeholder group, driving consensus, and creating a shared understanding of detailed requirements in conjunction with technical delivery
• Responsible for conducting complex and thorough research of existing processes, systems, systems logic, and desired objectives to develop detailed systems specifications to meet the objectives of the assigned projects.
• Design, prototype, and productionize AI-powered capabilities using modern GenAI technologies including LLMs, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), agentic architectures, orchestration frameworks, and enterprise governance to improve both customer experience and engineering productivity.
• Partner closely with UI/UX teams to capture interactive needs, defining precise acceptance criteria based on component layouts, user states, and design systems. Drive value through rapid POCs.
• Prioritizing and sequencing the backlog of epics/features/user stories according to business value, throughout the release and sprint planning cycles.
• Track and manage delivery execution by monitoring timelines, escalating risks promptly, removing blockers, and facilitating daily scrums to ensure smooth progress and timely delivery.
• Meet with business teams when needed and perform an initial assessment of a problematic situation
• Collect information about the business process through a variety of methods (shadowing, interviews, surveys, reading reports etc.)
• Provide strategic support to customers in defining or designing business processes and help to identify technologies based on customer requirements
• Coordinate multi-system solutions to clarify interdependencies so that systems appear seamless to the customer
• Extensive knowledge of product and software development techniques and agile methodologies
• Ensure AI-powered solutions are secure, explainable, observable, cost-efficient, and compliant with enterprise governance standards while continuously evaluating model quality, reliability, and business outcomes.