Product Lead, LLM & AI Services

Описание

Responsibilities

• form the vision and roadmap for the development of LLM services within the company;
• manage the backlog: collect, structure, and prioritize business requests and internal functions;
• develop and improve services based on LLM: RAG, AI agents, multi-agent scenarios, internal AI tools for employees;
• determine where LLM is truly needed and where it is not, and build a meaningful, not chaotic, scope of AI application;
• build a unified and understandable way for LLM to work with corporate data and systems, so that services are interconnected and integrated into the existing IT landscape;
• define data requirements for AI services: what data is needed, in what quality, from which systems, with what access and usage restrictions;
• design prompt-based and agent-based logic: scenarios, agent roles, orchestration, routing, tool calls, rules, and limitations;
• quickly assemble demos, PoCs, and prototypes to test hypotheses and demonstrate approaches;
• ensure the transition from PoC to production: bring solutions to a state where they can be actually implemented and operated;
• integrate AI services into real company processes: consider usage scenarios, user training, dealing with resistance, increasing adoption;
• interact with operations teams so that solutions are not only made, but also actually supported, used, and developed;
• evaluate the effects of implementing AI services: in money, in time, in quality, in process speed, in reducing manual load, and in other metrics;
• coordinate the development of solutions with business, IT, architecture, infrastructure, information security, lawyers, and other functions;
• defend a meaningful product and architectural position on the development of AI services within the company.