FinOps Solutions Architect, Principal

Requisition ID # 175087  Job Category: Engineering / Science  Job Level: Manager/Principal Business Unit: Technology & Security Work Type: Hybrid Job Location: Oakland     Department Summary Technology & Security designs, develops, operates, and maintains PG&E’s technology, telecommunications, and security capabilities that enable the company to meet its commitment to providing safe, reliable, and affordable service to customers.  Technology & Security partners with the business to strengthen capabilities through the development of new functionality, the implementation of modern and secure technologies, and the continuous improvement of systems and services. By reducing risk, increasing productivity, managing costs, and enabling organizational effectiveness, Technology & Security helps advance PG&E’s strategic priorities through trusted, innovative, and secure solutions. Position Summary Within the Technology & Security Organization, the FinOps Solutions Architect, Principal role is a high-impact, strategic leadership role designed drive a consistent, structured approach to managing Cloud costs and AI token consumption. In this role, you are accountable for architecting solutions for FinOps platform engineering, AI cost management, tokenomics, automation, and cost-aware cloud and AI architecture.  The HQ location is flexible within the Bay Area Region and will be agreed upon by the hiring leader and successful candidate. The position is hybrid working from your remote office and in-person at the Oakland Corporate Office 1-2x per week or based on business needs or company requirements.  Job Responsibilities

Architect, build, and scale the operational frameworks, architectural patterns, and data pipelines needed to control AI costs, optimize token usage, and enforce governance Design and implements complex architectural solutions using cloud design principles, best practices and industry standards Standardize Consumption: Build the enterprise-wide framework for tracking LLM token consumption across AWS (Amazon Bedrock, SageMaker) and Azure (Azure OpenAI, AI Studio). Implement Guardrails: Define and implement real-time rate limiting, token throttling, and multi-cloud model-routing policies to control costs before they occur. Establish Unit Economics: Define AI-specific unit metrics (e.g., cost-per-successful-inference, revenue-per-million-tokens) to measure true business ROI. Leads unique and complex cost/benefit modelling with mapping to business KPI's Educates team to design and implement architectures based on FinOps best practices Provides hands-on technical coaching to accelerate Cloud learning across the Cloud Center of Excellence (CCOE) Ensures that the design, development and delivery of infrastructure in the Cloud incorporates FinOps principals, to ensure continued cost optimization. Develops strategies and steps to incorporate FinOps data and practices into the development lifecycle. Collaborate with Cloud Service Providers and FinOps tool vendors to mature overall FinOps capabilities and drive further adoption of the FinOps practice by implementing solutions that enable cost optimization and shift work left. Designs and develops data pipelines to ingest, process, and transform data from various sources into actionable insights for both AWS and Azure CSPs. Hands on configuration and administration of all FinOps Tooling and implementation of new tooling, including integration with Azure and AWS Cloud platforms as applicable. Develop scripts and tools for automating deployment, monitoring, and scaling processes. Consult with incoming and onboarded application and business teams, to ensure their solutions are defined with FinOps principals, to optimize cost; work with them to close any gaps. Assist in defining additional technical FinOps roles needed to deliver solutions, which may include reviewing profiles, helping interview and helping select