Llm Cost Telemetry Data Jobs

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Today

FinOps AI Data Engineer, Principal

PG&E Corporation Oakland, CA

Oakland, CA

Today

$140k - $238k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

Design and scale a governed FinOps AI data platform that delivers enterprise visibility into cloud and generative AI consumption through reliable pipelines, models, and reporting.

Responsibilities

Build and improve the FinOps data set, data model, and reporting pipeline, including integrations for AI usage and cost telemetry.
Convert billing and allocation inputs into scalable reporting capabilities for: tokenomics, AI Gateway, AI DLC Tool, AI Agent Tool, LLM, workspace, user, AppID, use-case, order-number, model-provider, and model-name.
Enable mandatory metadata ingestion, FinOps Data Lake integration, FOCUS-aligned AI data modeling, and the foundations for full-cost showback and AI chargeback reporting.
Standardize and automate FinOps reporting and AI showback/chargeback views to support optimization insights, anomaly detection inputs, and related workflows.
Expand data engineering capacity for Snowflake, PowerBI, Flexera, AI Gateway, external AI usage sources, and cloud provider cost data pipelines.
Build and maintain AI usage telemetry, tokenomics datasets, allocation logic, unit economics inputs, and the reporting foundations for AI showback/chargeback.
Automate data quality checks and refresh routines for: anomaly detection inputs, optimization insight pipelines, and consumption trend data for cloud and AI spend.
Support inventory and data capture for LLM usage outside the Enterprise AI Gateway, including known external GenAI and SageMaker use cases.

Requirements

BA/BS in computer science, management information systems, or related field of study, or equivalent work experience.
10+ years of experience across multiple data engineering and ETL ecosystems.
3+ years of experience in machine learning algorithm deployment and MLOps.
Experience leading development teams.
5+ years building production-grade distributed data pipelines.
Deep knowledge of multi-cloud billing mechanics, including AWS CUR and Azure FOCUS datasets, plus FinOps Framework principles.
Proven experience tracking and modeling AI infrastructure costs, including LLM API usage, GPU clusters (examples: NVIDIA Triton, Kubernetes), and vector database spend.
Hands-on experience with cloud data warehouses and lakehouses such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
Strong background designing schemas for complex financial allocation, amortization, shared-cost showback, and forecasting.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field; FinOps Foundation Certified (FOCUS) and a professional designation are desired.

Technologies

Snowflake, PowerBI, Flexera, AI Gateway
NVIDIA Triton, Kubernetes, vector database
Databricks, BigQuery, Amazon Redshift
AWS CUR, Azure FOCUS datasets
FOCUS, LLM, SageMaker, GenAI
FinOps Framework

Compensation

USD 140,000 - 238,000 per year

Location and Work Type

Oakland, CA (hybrid)
Hybrid includes working from a remote office and in-person at the Oakland Corporate Office 1-2x per week or based on business needs/company requirements.
HQ location is flexible within the Bay Area Region and will be agreed upon by the hiring leader and the successful candidate.

Job Details

Job Category: Information Technology
Job Level: Manager/Principal
Business Unit: Technology & Security
Work Type: Hybrid

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