AI FinOps Engineer
T. Rowe PriceBase Salary
$122k - $261k/yr
Responsibilities
- Develop and maintain cost transparency for AI and machine learning workloads, including compute, storage, networking, training, inference, and third-party platform usage.
- Create reporting, dashboards, and KPIs covering AI spend, utilization, efficiency, and business value.
- Identify and recommend optimization strategies for model selection, deployment, compute and GPU sizing, scheduling, storage lifecycle, inference, vendor, and API usage.
- Support showback and chargeback models for AI services.
- Build forecasting and budgeting models for AI platforms, cloud consumption, and external vendor spend.
- Define and enforce governance standards for tagging, budgeting, provisioning, monitoring, and lifecycle management.
- Collaborate with Finance and Procurement on vendor evaluation, pricing analysis, contracts, and consumption optimization.
- Align AI cost optimization practices with risk, security, compliance, enterprise controls, and regulatory expectations.
- Automate cost management and governance using scripting, infrastructure-as-code, and cloud-native tooling.
- Evaluate hosted AI services, internally managed platforms, and open-source model deployments for cost, scalability, security, and operational supportability.
- Contribute to firmwide best practices for responsible, efficient, and scalable AI adoption.
Requirements
- Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Information Systems, Finance, Data Analytics, or a related field.
- Experience in FinOps, cloud engineering, platform engineering, DevOps, MLOps, data engineering, or infrastructure cost management.
- Deep familiarity with LLM pricing mechanics, including context windows, caching, batching, input/output token splits, and tier structures.
- Strong understanding of cloud cost drivers such as compute, storage, networking, and managed platform services.
- Familiarity with model training, fine-tuning, batch inference, real-time inference, and data pipeline processing.
- Experience with at least one major cloud platform, such as AWS or Azure.
- Experience using cloud cost management, observability, or reporting tools.
- Proficiency in Python, SQL, or similar scripting or query languages.
- Experience building dashboards, reports, or analytics for cost transparency and operational decision-making.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Preferred experience with generative AI or large language model workloads, token-based pricing, and inference cost optimization.
- Preferred familiarity with Databricks, Snowflake, SageMaker, Azure ML, or similar enterprise AI and data platforms.
- Preferred understanding of GPU utilization, accelerator economics, performance-cost tradeoffs, tagging, cost allocation, budget governance, and enterprise controls.
- Experience in financial services or another highly regulated environment and relevant cloud, FinOps, Technology Business Management, or infrastructure engineering certifications are preferred.
- FINRA licenses are not required and will not be supported.
Benefits
- Hybrid work schedule with up to three days per week from home.
- Base salary ranges vary by location: $122,000.00-$209,000.00 in Maryland, Colorado, Washington, and for remote workers; $135,000.00-$230,000.00 in Washington, D.C.; and $153,000.00-$261,000.00 in New York and California.
- Annual bonus eligibility.
- Generous retirement plan.
- Health and wellness benefits, including online therapy.
- Paid time off for vacation, illness, medical appointments, and volunteering days.
- Family care resources, including fertility and adoption benefits.
About T. Rowe Price
T. Rowe Price is a premier global asset management organization, actively investing in opportunities to help people thrive in an evolving world. Headquartered in Baltimore, Maryland, we provide a broad range of investment solutions across equity, fixed income, and multi-asset capabilities for clients around the world—from individuals to advisors to institutions to retirement plan sponsors. Our active, independent investing approach has guided how we do business for more than 85 years. Our professionals have diverse perspectives, but are united behind a commitment to rigorous research. They collaborate to identify market risks and opportunities that can give clients sharper insights and an investment edge. We maintain a long-term view, aiming to deliver consistently strong performance in up and down markets. Our clients—and their success—are our singular focus. That’s why we build deep, meaningful partnerships, matching client goals with our expertise. By understanding clients’ needs and delivering timely, actionable insights and solutions, we can help them navigate change and achieve better outcomes. Guidelines: www.troweprice.com/social (LRN 4812722) T. Rowe Price and our associates do not recommend or offer investment opportunities in any financial instrument (e.g., stocks, funds, cryptocurrency, etc.) via social media or messaging platforms. Intended for US audiences only. Download a prospectus for any T. Rowe Price mutual fund or ETF, which includes investment objectives, risks, fees, expenses, and other information that you should read and consider carefully before investing: https://trowe.com/3sqwKtL Please remember that investing involves risk, including possible loss of principal and past performance cannot guarantee future results. T. Rowe Price Investment Services, Inc., is a broker-dealer registered with the SEC and is Member FINRA and Member SIPC. 5247748