PG&E is seeking a Principal Data Scientist (AI Engineer focused) to serve as the chief technical staff member within the Enterprise AI Center of Excellence (AI CoE). You will be the senior hands-on technical leader for enterprise AI execution, responsible for setting technical direction, designing scalable AI and agentic architectures, and guiding complex AI solutions from concept through production adoption. You will help lead changes in how PG&E adopts, governs, builds, and scales AI by establishing practical engineering standards, reusable solution patterns, and trusted approaches for generative AI, agentic systems, machine learning, and enterprise data science. This is a hybrid role with remote work and in-person collaboration at the Oakland Headquarters 1–2 times per week or as business needs require. Responsibilities include: leading AI CoE priorities across AI Advisory, AI Governance, and AI Factory; setting the technical vision and architecture for enterprise AI including generative AI, agentic AI, traditional ML, AI-enabled automation, and reusable patterns; designing and implementing production-grade AI systems using Python, AWS Bedrock, enterprise LLM gateways, agent orchestration frameworks, retrieval-augmented generation, vector search, APIs, and secure enterprise integrations; establishing engineering standards, reference architectures, design patterns, prompt and agent templates, evaluation harnesses, and quality practices; acting as senior technical reviewer for complex AI use cases and production readiness decisions; guiding AI Factory from prototypes to pr

PG&E is seeking a Principal Data Scientist (AI Engineer focused) to serve as the chief technical staff member within the Enterprise AI Center of Excellence (AI CoE). You will be the senior hands-on technical leader for enterprise AI execution, responsible for setting technical direction, designing scalable AI and agentic architectures, and guiding complex AI solutions from concept through production adoption. You will help lead changes in how PG&E adopts, governs, builds, and scales AI by establishing practical engineering standards, reusable solution patterns, and trusted approaches for generative AI, agentic systems, machine learning, and enterprise data science. This is a hybrid role with remote work and in-person collaboration at the Oakland Headquarters 1–2 times per week or as business needs require. Responsibilities include: leading AI CoE priorities across AI Advisory, AI Governance, and AI Factory; setting the technical vision and architecture for enterprise AI including generative AI, agentic AI, traditional ML, AI-enabled automation, and reusable patterns; designing and implementing production-grade AI systems using Python, AWS Bedrock, enterprise LLM gateways, agent orchestration frameworks, retrieval-augmented generation, vector search, APIs, and secure enterprise integrations; establishing engineering standards, reference architectures, design patterns, prompt and agent templates, evaluation harnesses, and quality practices; acting as senior technical reviewer for complex AI use cases and production readiness decisions; guiding AI Factory from prototypes to pr