AI Cloud FinOps Architect & Cost Optimizer

Willis Towers Watson; Chicago, Northern (IL, KY); Hybrid; USD 130,000 - 140,000; Full time

Job summary

Willis Towers Watson is evolving its FinOps practice to automate cloud and AI cost controls. The role focuses on planning, monitoring, optimizing, and evolving FinOps for Azure and AI at scale.

You will automate cost estimates, data ingestion, attribution, and alerting, while enabling governance and cost hygiene across a global tech estate. The ideal candidate has 5+ years in cloud cost management, strong Azure tooling experience, and a track record of automation that replaces recurring manual

Qualifications

• Typically 5+ years in cloud cost management, cloud engineering, platform engineering or related discipline.
• Strong Microsoft Azure experience, including cost management tooling.
• Automation engineering capability: Python with Azure Logic Apps/Functions or equivalents.
• Strong data and query skills with cost data, preferably against FOCUS-aligned datasets.
• Understanding of AI cost drivers across vendors.
• Knowledge of FinOps framework, cost showback/chargeback.
• Ability to translate cost data into reporting for engineers and finance.
• Track record of cost optimization.

Responsibilities

• Automate design-time cost estimates for workloads and AI features.
• Automate ingestion, normalization and allocation of cloud and AI cost data.
• Instrument AI cost attribution by team, product, feature and environment.
• Build alert-to-closure workflow with budget and anomaly alerts.
• Automate insights-to-action routing and rightsizing actions.
• Help define guardrails for AI spend with real-time visibility and policy enforcement.
• Develop FinOps for AI, including unit economics and hygiene.

Skills

Cloud cost mgmt

Azure cost mgmt

Automation

Python

Logic Apps

Power BI

Cost data

FinOps framework

AI cost drivers

Communication

Tools

Azure Logic Apps

Azure Functions

Power BI

Job description

Willis Towers Watson is evolving its FinOps practice to automate cloud and AI cost controls. The role focuses on planning, monitoring, optimizing, and evolving FinOps for Azure and AI at scale.

You will automate cost estimates, data ingestion, attribution, and alerting, while enabling governance and cost hygiene across a global tech estate. The ideal candidate has 5+ years in cloud cost management, strong Azure tooling experience, and a track record of automation that replaces recurring manual