AI & Cloud FinOps Engineer

WTW • Charlotte, NC

3d • $130,000 - $140,000

About The Position

WTW is evolving its FinOps practice to ensure AI and cloud spend is visible, accountable, and efficient. This role will drive the evolution from traditional cloud FinOps to Tokenomics and the automation of this practice. The engineer will build controls, reporting, and automation for the FinOps practice to operate without manual effort across Azure and AI, and will help establish the FinOps for AI capability from the ground up. This is a visible role within a small core FinOps team, managing a global estate, and reporting to senior technology leaders.

Requirements

• Typically 5+ years in cloud cost management, cloud engineering, platform engineering, or a closely related discipline.
• Strong Microsoft Azure experience, including cost management tooling.
• Awareness of AI services such as Azure Foundry.
• Automation engineering capability (e.g., Python with Azure Logic Apps and Functions) with a track record of replacing manual processes with reliable automation.
• Strong data and query skills with experience gathering and maintaining cost data, ideally against FOCUS-aligned datasets.
• Understanding of AI cost drivers across different vendors (token consumption, model selection, inference vs. training, provisioned throughput, usage-based pricing).
• Working knowledge of the FinOps Framework in an enterprise setting, including cost allocation, showback, and chargeback.
• Ability to translate cost data for engineers and finance, including reporting in Power BI or similar.
• Communication skills to drive FinOps cultural transformation across engineering, product, and finance teams.
• A track record of identifying and delivering cost optimization.

Nice To Haves

• FinOps Certified Practitioner, or working towards it.
• Experience with a commercial multicloud FinOps platform (e.g., Cloudability or CloudHealth).
• Exposure to AI guardrails and governance (rate limiting, budget controls, policy-as-code).
• Integration experience with alerting and workflow tooling such as Microsoft Teams and ServiceNow.
• Experience beyond Azure (AWS, OCI, or GCP) and with SaaS cost management.

Responsibilities

• Automate design-time cost estimates for workloads and AI features.
• Support the automation of monthly forecasts and variance packs, including AI-drafted commentary.
• Automate the ingestion, normalization, and allocation of cloud and AI cost data aligned to FOCUS.
• Instrument AI cost attribution at source (Team, product, feature, environment) for token and model consumption.
• Build the alert-to-closure workflow for budget and anomaly alerts with response SLAs and automatic capture of closure evidence.
• Enhance monitoring with automated metrics for actionable insights.
• Automate insight-to-action routing for optimization recommendations, anomalies, and trends.
• Automate cost hygiene, including detection of orphaned/idle resources and tooling for rightsizing.
• Help shape guardrails for AI spend, including real-time visibility, cost controls, step and budget caps on agentic workloads, and a central model-routing layer.
• Build out the FinOps for AI practice, focusing on unit economics (cost per prompt, outcome, user, agent run) and model/seat/feature hygiene.
• Apply AI to the FinOps practice itself for anomaly explanation, tagging remediation, variance commentary, and optimization prioritization.
• Codify and automate best practices for engineering, product, and finance teams.

Benefits

• Mental health/emotional wellbeing (including Employee Assistance Program)
• Medical (including prescription drug coverage and fertility benefits)
• Dental
• Vision
• Health Savings Account
• Commuter Accounts
• Health Care and Dependent Care Flexible Spending Accounts
• Company-paid life insurance
• Supplemental life insurance
• AD&D
• Group accident
• Group critical illness
• Group legal
• Identity theft protection
• Wellbeing program
• Adoption assistance
• Surrogacy assistance
• Auto/home insurance
• Pet insurance
• Other work/life resources
• Paid holidays
• Annual paid time off (includes state/local paid leave where required)
• Company-paid disability (short-term and long-term disability)
• Other leaves (e.g., bereavement, FMLA, ADA, jury duty, military leave, and Parental and Adoption Leave)
• Qualified contributory pension plan (if eligible)
• 401(k) plan with annual nonelective company contribution
• Non-qualified retirement plans available to senior level colleagues

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed