Senior Technical Program Manager, AI Agent Development

Role Overview: As a Technical Program Manager at Google, you will utilize your technical expertise to lead complex, multi-disciplinary projects from inception to completion. Working with stakeholders, you will strategize requirements, identify risks, manage project timelines, and effectively communicate with cross-functional partners. You will be responsible for explaining your team's analyses and recommendations to executives and discussing technical tradeoffs in product development with engineers. Google Cloud offers enterprise-grade solutions powered by cutting-edge technology, enabling organizations worldwide to digitally transform their businesses. Key Responsibilities: - Design, prototype, and develop production-grade Artificial Intelligence (AI) agents utilizing Large Language Model (LLMs), Retrieval-augmented generation (RAG), and custom machine learning to interact with Product Lifecycle Management/Product Data Management (PLM/PDM) systems and processes such as Bill of Materials (BOMs), Engineering Change Orders (ECOs), and New Product Introduction (NPI). - Establish testing, evaluation, and monitoring frameworks to assess agent performance, with a focus on accuracy, automation rate, and data quality enhancement. - Define the technical scope, objectives, and success metrics for the PLM AI Agent roadmap, ensuring alignment with the Technical Infrastructure and Cloud business strategy. Lead the execution of agent development programs. - Document and communicate the transformation of PLM processes by AI, articulating the business value (e.g., cycle time reduction, cost savings, quality gains) to executive stakeholders. - Serve as the primary liaison between the development team, PLM Process Owners, Product Managers, and Operations teams. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 5 years of experience with Product Lifecycle Management (PLM) processes, including Bill of Materials (BOMs), ECOs, or New Product Introduction (NPI) workflows, typically gained from a technical role in manufacturing or infrastructure. - 5 years of experience in architecting data engineering, data warehousing, data analytics, business intelligence, visualization, and data solutions using SQL and Python. - 3 years of experience in developing and deploying production-grade Artificial Intelligence/Machine Learning (AI/ML) solutions or self-sustaining agent systems. Additional Details: A problem isn't truly solved until it's solved for all. Google's mission is to create products that provide opportunities for everyone, regardless of their location. Google Cloud empowers organizations worldwide to digitally transform their businesses with enterprise-grade solutions. Customers in over 200 countries trust Google Cloud to drive growth and address their most critical business challenges.,