Remote AI FinOps Engineer

Relha LLC; Owings Mills (MD); Hybrid; USD 122,000 - 209,000; Full time

Job summary

T. Rowe Price is seeking an AI FinOps Engineer to drive cost‑effective, scalable adoption of AI across the firm.

This role sits at the intersection of AI platform engineering, cloud financial operations, data infrastructure, and governance to ensure financial discipline and transparent spending. The engineer will partner with TRP Labs, Enterprise Architecture, Engineering, Finance, Procurement, Data Science, Security, Risk, and business stakeholders to improve visibility, forecast budgets, and

Qualifications

• Bachelor’s degree or equivalent work experience in CS, Engineering, Information Systems, Finance, Data Analytics, or related field.
• Experience in 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.

Responsibilities

• Develop cost transparency for AI/ML workloads including compute, storage, networking, training, inference, and third‑party usage.
• Create dashboards, reports, and KPIs to track AI spend, utilization, efficiency, and business value.
• Partner with architecture, engineering, platform, and data science teams to optimize AI infrastructure and services.
• Analyze workload consumption patterns and recommend optimization strategies for model deployment, compute/GPU sizing, scheduling, storage, and inference.
• Support showback/chargeback models to improve accountability and decision making.
• Build forecasting and budgeting models for AI platform usage, cloud consumption, and external vendor spend.
• Define and enforce lightweight governance standards for AI infrastructure including tagging, provisioning, and monitoring.
• Collaborate with Finance and Procurement on vendor evaluation, pricing analysis, and contract planning.

Skills

FinOps

Cloud cost management

Python

SQL

Data analysis

Communication skills

Education

Bachelor’s degree or equivalent

Tools

AWS

Azure

Databricks

Snowflake

Job description

T. Rowe Price is seeking an AI FinOps Engineer to drive cost‑effective, scalable adoption of AI across the firm.

This role sits at the intersection of AI platform engineering, cloud financial operations, data infrastructure, and governance to ensure financial discipline and transparent spending. The engineer will partner with TRP Labs, Enterprise Architecture, Engineering, Finance, Procurement, Data Science, Security, Risk, and business stakeholders to improve visibility, forecast budgets, and