FinOps

FinOps Engineer Jobs

3 jobs found

20d ago

FinOps AI Data Engineer, Principal

PG&E Corporation Oakland, CA

Oakland, CA

20d ago

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

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Job Description

The FinOps AI Data Principal at PG&E Corporation will design, build, and scale the core FinOps Data Platform to provide governed visibility into cloud and generative AI consumption. The role focuses on data pipelines, models, and reporting that support showback/chargeback readiness, forecasting, anomaly detection, unit economics, and optimization insights.

Responsibilities

Build and enhance the FinOps dataset, data model, reporting pipeline, and AI usage and cost telemetry integrations.
Convert billing and usage requirements into scalable data and reporting capabilities, including allocation, tokenomics, AI Gateway, AI DLC Tool, AI Agent Tool, LLM, workspace, user, AppID, use-case, order-number, model-provider, and model-name.
Support mandatory metadata ingestion, FinOps Data Lake integration, FOCUS-aligned AI data modeling, full-cost showback dependencies, and AI chargeback reporting foundations.
Standardize, simplify, and automate FinOps reporting, AI showback and chargeback views, optimization insights, anomaly detection inputs, and related process workflows.
Increase data engineering capacity across Snowflake, PowerBI, Flexera, AI Gateway, external AI usage sources, and cloud provider cost data pipelines.
Build and maintain AI usage telemetry and tokenomics datasets, allocation logic, unit economics inputs, and AI showback and chargeback reporting foundations.
Automate data quality checks, reporting refresh cycles, anomaly detection inputs, optimization insight pipelines, and consumption trend datasets 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 a related field, 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 machine learning operations.
Experience leading development teams.
5+ years of experience building production-grade, distributed data pipelines.
Deep knowledge of multi-cloud billing mechanics, including AWS CUR and Azure FOCUS datasets, along with FinOps Framework principles.
Proven experience tracking and modeling AI infrastructure costs, including LLM API usage, GPU clusters such as NVIDIA Triton and Kubernetes, and vector database spend.
Hands-on experience with cloud data warehouses and lakehouses such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
Strong background in designing schemas for complex financial allocation, amortization, shared-cost showback, and forecasting.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field; FinOps Foundation Certified (FOCUS) and a professional designation are desired.

Core 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

Role Details

Location: Oakland, CA (hybrid)
Business unit: Technology & Security
Job category: Information Technology
Job level: Manager/Principal
Work type: Hybrid
HQ location: Flexible within the Bay Area Region, agreed upon by the hiring leader and the successful candidate
Hybrid working: 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

Compensation

Salary range: USD 140,000 - 238,000 per year

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1mo ago

Principal AI Engineer

RWE Americas Chicago, IL

Chicago, IL

1mo ago Closed

$178k - $240k/yr Full time Backend Developer Agent Frameworks Ai Engineer

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

RWE Americas is seeking a Principal AI Engineer to help shape and run shared artificial intelligence capabilities that multiple squads and business units depend on. This role sits at the platform layer, where you will integrate core AI building blocks, establish engineering patterns and reference implementations, and ensure production reliability, responsible AI controls, and cost-efficient operations.

Working in an office-based role in Chicago, IL (onsite), you will tackle enterprise-scale AI engineering challenges across retrieval, agent safety, evaluation, and operational observability, then scale those solutions through adoption and mentorship across the organization.

Key Responsibilities

Integrate and operate shared AI platform capabilities used by squads and business units, including orchestration and agent frameworks, retrieval and knowledge services, evaluation tooling, model and prompt lifecycle management, observability, and guardrails, ensuring production readiness and adoption aligned with the enterprise target-state architecture and platform roadmap
Address high-impact enterprise AI problems, such as improving retrieval quality across fragmented document and operational data estates, developing useful models when labeled outcomes are scarce, enabling agents to run safely in compliance-bound workflows, and resolving assets, sites, and other entities across systems without common identifiers
Define reference implementations for AI development across squads and drive adoption by making engineering standards visible, consistent, and teachable
Operationalize responsible AI at the platform level through evaluation and guardrail infrastructure, explainability and citation, bias and drift detection, override and audit logging, prompt and model versioning, and the evidence trail needed for compliance and audit
Deliver AI platform cost efficiency through instrumentation and per-product economics, leading structural improvements to routing, caching, context management, and model tiering to keep spend proportional to value within the enterprise AI FinOps framework
Increase engineering output by leading design reviews, coaching senior engineers, and evolving platform standards

Requirements

Master’s or PhD degree in computer science, data science, STEM, or a related field
Minimum 11 years of relevant professional experience in software or AI/ML engineering roles, including demonstrated experience building and operating shared platform capabilities used by multiple teams, and setting technical patterns other engineers follow
Deep expertise in enterprise-scale AI development, with the ability to set engineering standards within an established platform architecture
Production experience on a major cloud platform, including Python, containerized deployment, and CI/CD for AI services, plus current LLM orchestration and agent frameworks
Extensive experience integrating and operating shared AI platform services in a production enterprise environment, with personal accountability for reliability and supportability
Depth in responsible AI engineering with hands-on ownership of evaluation, guardrail, and audit infrastructure
Demonstrated ability to drive AI platform cost efficiency using structural levers described above
Proven ability to mentor and professionally develop junior AI engineers
Experience with IT/OT environments, industrial data sources, or operational technology systems is preferred
Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies is preferred
Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time
Office-based role with some travel and visits to other RWE Americas offices and field locations; the employee must be able to sit, walk, or stand for long durations of time

Technologies

Python
CI/CD
LLM orchestration
Agent frameworks
Containerized deployment

Location

Chicago, IL, US (onsite) 60654
Austin, TX, US 78701

Compensation

USD 178,000 - 240,000 per yearly
Annual base salary range for Illinois: $178,000 - $240,000
Remuneration: Exempt

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Education Assistance
Parental Leave
Paid time off
Holidays
Eligible employees also participate in short-term incentives, in addition to salary

Functional Area: IT / Digital

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5mo ago

Analytics and Data Engineer

SABEL SYSTEMS TECHNOLOGY SOLUTIONS LLC Dayton, OH

Dayton, OH

5mo ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Analytics and Data Engineer to support a major USAF digital engineering engagement, onsite in Dayton, OH.

Responsibilities

Design, build, and sustain robust data pipelines to extract, transform, and load data from diverse sources into a centralized analytics repository.
Develop and manage dashboards for software license utilization, cloud infrastructure consumption (FinOps), and application performance monitoring.
Integrate monitoring data from internal and third-party tools into a unified, near real-time analytics interface for government administrators.
Support secure migration and validation of data from legacy environments to the new platform, ensuring data integrity and lineage.
Collaborate with the portal development team to embed key analytics and reporting dashboards directly within the platform's user interface.

Requirements

US Citizen with an Active Secret Security Clearance.
5+ years of experience in data engineering, data analytics, or business intelligence.
Proficiency in building ETL/ELT data pipelines, data modeling, and creating dashboards with BI tools (Power BI, Tableau, Grafana, Qlik).
Strong SQL skills.
Strong spoken and written English.
Ability to travel up to 25%.

Technologies

Power BI, Tableau, Grafana, Qlik
SQL
AWS CloudWatch, Azure Monitor
PostgreSQL, Elasticsearch
FlexNet, Open iT

Benefits

Healthcare
Health savings accounts
Retirement plans
Paid time off
Paid holidays
Education and training program reimbursement
Financial assistance for illness, injury, disability, loss of work, or death

Details

Location: Dayton, OH (onsite)
Experience: 5+ years
Travel: Up to 25%
Security: US Citizenship with Active Secret Clearance

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