At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
Role Summary
We are seeking an AI FinOps Engineer to help drive the cost-effective, scalable, and well-governed adoption of artificial intelligence across the firm. This role will sit at the intersection of AI platform engineering, cloud financial operations, data infrastructure, and enterprise governance, helping ensure that AI capabilities are delivered with strong financial discipline, operational transparency, and risk awareness.
The AI FinOps Engineer will work closely with teams across TRP Labs, Enterprise Architecture, Engineering, Finance, Procurement, Data Science, Security, Risk, and business stakeholders to provide visibility into AI-related spend, improve resource efficiency, support forecasting and budgeting, and help establish standards for sustainable AI usage.
This role will support a broad range of AI workloads, including machine learning, advanced analytics, and generative AI use cases, across cloud and enterprise technology environments. This is a technical, hands-on role. You will work at the API level to instrument workloads, identify inefficiencies, and engineer solutions that reduce organizational cost without degrading capability. A key output of this work is translating AI usage findings into best practices.
Why This Role Matters
As T. Rowe Price continues to expand its use of AI and advanced analytics, it is critical that these capabilities are delivered with strong operational rigor, cost transparency, and governance. The AI FinOps Engineer will help the firm scale AI in a way that is efficient, responsible, and aligned with enterprise priorities.
Responsibilities
- Develop and maintain cost transparency for AI and machine learning workloads, including compute, storage, networking, model training, inference, and third-party AI platform usage.
- Create and manage reporting, dashboards, and KPIs to track AI-related spend, utilization, efficiency, and business value across teams and use cases.
- Partner with architecture, engineering, platform, and data science teams to identify opportunities to improve cost, performance, and utilization of AI infrastructure and services.
- Analyze AI workload consumption patterns and recommend optimization strategies related to: (1) model selection and deployment approach (2) compute and GPU sizing (3) workload scheduling (4)storage lifecycle management (5) inference efficiency (6) vendor and API usage
- Support the design and implementation of showback and chargeback models for AI-related services to improve accountability and decision-making.
- Build forecasting and budgeting models for AI platform usage, cloud consumption, and external vendor spend.
- Help define and enforce lightweight governance standards for AI infrastructure, including tagging, budgeting, provisioning controls, usage monitoring, and lifecycle management.
- Collaborate with Finance and Procurement to support vendor evaluation, pricing analysis, contract planning, and consumption optimization for AI platforms and services.
- Partner with Risk, Security, and Compliance stakeholders to ensure AI cost optimization practices align with enterprise controls and regulatory expectations.
- Automate cost management and governance processes using scripting, infrastructure-as-code, and cloud-native tooling.
- Evaluate tradeoffs among hosted AI services, internally managed platforms, and open-source model deployments with a focus on cost, scalability, security, and operational supportability.
- Contribute to firmwide best practices for responsible, efficient, and scalable AI adoption.
Qualifications
Required:
- Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Information Systems, Finance, Data Analytics, or a related field.
- Experience in one or more of the following areas: FinOps, cloud engineering, platform engineering, DevOps, MLOps, data engineering, or infrastructure cost management.
- Deep familiarity with LLM pricing mechanics: context windows, caching, batching, input/output token splits, and tier structures.
- Strong understanding of cloud cost drivers, including compute, storage, networking, and managed platform services.
- Familiarity with AI/ML workload patterns such as 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/query languages.
- Experience building dashboards, reports, or analytics to support cost transparency and operational decision-making.
- Strong analytical and problem-solving skills with the ability to translate technical usage into financial and business insights.
- Strong communication and collaboration skills, with the ability to work effectively across technical, operational, and business teams.
Preferred:
- Experience supporting generative AI or large language model workloads, including token-based pricing models and inference cost optimization.
- Familiarity with enterprise AI and data platforms such as Databricks, Snowflake, SageMaker, Azure ML, or similar technologies.
- Understanding of GPU utilization, accelerator economics, and performance-cost tradeoff analysis.
- Knowledge of enterprise tagging, cost allocation, and budget governance practices.
- Experience in a financial services or other highly regulated environment.
- Familiarity with enterprise risk, security, and control expectations related to technology and data platforms.
- Relevant certifications in cloud platforms, FinOps, Technology Business Management or infrastructure engineering.
FINRA Requirements
FINRA licenses are not required and will not be supported for this role.
Work Flexibility
This role is eligible for hybrid work, with up to three days per week from home.
Base Salary Ranges
Please review the job posting for the location of this specific opportunity.
$122,000.00 - $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers$135,000.00 - $230,000.00 for the location of: Washington, D.C.
$153,000.00 - $261,000.00 for the location of: New York, California
Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.
Commitment to Diversity, Equity, and Inclusion
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.
Benefits
We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
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
Learn more about our benefits.
Skills Required
- 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, including compute, storage, networking, and managed platform services
- Familiarity with AI/ML workload patterns such as 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/query languages
- Experience building dashboards, reports, or analytics for cost transparency and operational decision-making
- Strong analytical and problem-solving skills translating technical usage into financial and business insights
- Strong communication and collaboration skills across technical, operational, and business teams
- Experience supporting generative AI or large language model workloads, including token-based pricing and inference cost optimization
- Familiarity with enterprise AI and data platforms such as Databricks, Snowflake, SageMaker, Azure ML, or similar technologies
- Understanding of GPU utilization, accelerator economics, and performance-cost tradeoff analysis
- Knowledge of enterprise tagging, cost allocation, and budget governance practices
- Experience in financial services or another highly regulated environment
- Familiarity with enterprise risk, security, and control expectations for technology and data platforms
- Relevant certifications in cloud platforms, FinOps, Technology Business Management, or infrastructure engineering
T. Rowe Price Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about T. Rowe Price and has not been reviewed or approved by T. Rowe Price.
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Retirement Support — Retirement offerings are positioned as a standout, including strong 401(k) matching/contributions and related long-term savings features. Employee stock purchase options are also cited as part of the overall rewards structure that adds value beyond base pay.
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Leave & Time Off Breadth — Time-off benefits are repeatedly framed as generous, including sizeable PTO allotments and multiple paid-leave categories. This breadth of leave is described as a meaningful component of the overall rewards package.
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Career-Linked Recognition & Rewards — Annual bonuses and performance-linked rewards are described as common components of total compensation. Tuition assistance and development support are also presented as rewards that reinforce longer-term career growth.
T. Rowe Price Insights
What We Do
T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on—now, and over the long term. Headquartered in Baltimore, Maryland, we provide an array of mutual funds, subadvisory services, separate account management, recordkeeping, and related services for individuals, advisors, institutions, and retirement plan sponsors. At T. Rowe Price, we believe in strategic investing. It has guided how we do business for more than 80 years, and it’s driven by independent thinking and rigorous research. So our clients can be confident that we’ll strive to select the right investments as we help them achieve their objectives. Strategic investing means that we don’t stop at surface level analysis. Instead, we go beyond the numbers. Our investment professionals travel the world, visiting the companies they evaluate. It’s this passion for exploration and understanding that has helped inform better decision-making and prudent risk management for our clients since its founding by Thomas Rowe Price Jr. in 1937.
