{"id":985740,"url":"https://alion.io/job/t-rowe-price-ai-finops-engineer","title":"AI FinOps Engineer","company":{"id":704268,"name":"T. Rowe Price","domain":"troweprice.com","url":"https://alion.io/company/t-rowe-price","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":19,"ghost_share":0,"stale_share":0.579,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Baltimore, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":122000,"max":209000,"currency":"USD","period":"year","gross":null,"usd_annual":209000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-11-03T13:31:01Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"At T. Rowe Price, we identifyand 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.\nWe 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 workand in your community. You’llenjoy resources to support your career path, as well ascompensation, benefits,and flexibility to enrich your life. Here, you’llfind acollaborative culture that respectsand valuesdifferencesand colleagues who share a spirit of generosity.\nJoin us for the opportunity togrow and make a difference in ways that matter to you.\nRole Summary\nWe 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.\nThe 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.\nThis 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.\nWhy This Role Matters\nAs 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.\nResponsibilities\nDevelop and maintain cost transparency for AI and machine learning workloads, including compute, storage, networking, model training, inference, and third-party AI platform usage. \nCreate and manage reporting, dashboards, and KPIs to track AI-related spend, utilization, efficiency, and business value across teams and use cases. \nPartner with architecture, engineering, platform, and data science teams to identify opportunities to improve cost, performance, and utilization of AI infrastructure and services. \nAnalyze 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 \nSupport the design and implementation of showback and chargeback models for AI-related services to improve accountability and decision-making. \nBuild forecasting and budgeting models for AI platform usage, cloud consumption, and external vendor spend. \nHelp define and enforce lightweight governance standards for AI infrastructure, including tagging, budgeting, provisioning controls, usage monitoring, and lifecycle management. \nCollaborate with Finance and Procurement to support vendor evaluation, pricing analysis, contract planning, and consumption optimization for AI platforms and services. \nPartner with Risk, Security, and Compliance stakeholders to ensure AI cost optimization practices align with enterprise controls and regulatory expectations. \nAutomate cost management and governance processes using scripting, infrastructure-as-code, and cloud-native tooling. \nEvaluate tradeoffs among hosted AI services, internally managed platforms, and open-source model deployments with a focus on cost, scalability, security, and operational supportability. \nContribute to firmwide best practices for responsible, efficient, and scalable AI adoption. \nQualifications\nRequired:\nBachelor’s degree or equivalent work experience in Computer Science, Engineering, Information Systems, Finance, Data Analytics, or a related field. \nExperience in one or more of the following areas: FinOps, cloud engineering, platform engineering, DevOps, MLOps, data engineering, or infrastructure cost management. \nDeep familiarity with LLM pricing mechanics: context windows, caching, batching, input/output token splits, and tier structures. \nStrong understanding of cloud cost drivers, including compute, storage, networking, and managed platform services. \nFamiliarity with AI/ML workload patterns such as model training, fine-tuning, batch inference, real-time inference, and data pipeline processing. \nExperience with at least one major cloud platform, such as AWS or Azure. \nExperience using cloud cost management, observability, or reporting tools. \nProficiency in Python, SQL, or similar scripting/query languages. \nExperience building dashboards, reports, or analytics to support cost transparency and operational decision-making. \nStrong analytical and problem-solving skills with the ability to translate technical usage into financial and business insights. \nStrong communication and collaboration skills, with the ability to work effectively across technical, operational, and business teams. \nPreferred:\nExperience supporting generative AI or large language model workloads, including token-based pricing models and inference cost optimization. \nFamiliarity with enterprise AI and data platforms such as Databricks, Snowflake, SageMaker, Azure ML, or similar technologies. \nUnderstanding of GPU utilization, accelerator economics, and performance-cost tradeoff analysis. \nKnowledge of enterprise tagging, cost allocation, and budget governance practices.\nExperience in a financial services or other highly regulated environment. \nFamiliarity with enterprise risk, security, and control expectations related to technology and data platforms. \nRelevant certifications in cloud platforms, FinOps, Technology Business Management or infrastructure engineering. \nFINRA Requirements\nFINRA licenses are not required and will not be supported for this role.\nWork Flexibility\nThis role is eligible for hybrid work, with up to three days per week from home.\nBase Salary Ranges\nPlease review the job posting for the location of this specific opportunity.\n$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.\n$153,000.00 - $261,000.00 for the location of: New York, California\nPlacement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one componentof our total compensation package. Employees may be eligible for a discretionary bonus, which is determinedupon company and individual performance.\nCommitment to Diversity, Equity,andInclusion\nAt 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 ideasand 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.\nBenefits\nWe value your goals and needs, at work and in life. As an associate, you’llbe supported with resources, benefits, and work-life balanceso you canthrive in ways that matter to you.\nFeatured employee benefits to enrich your life:\nCompetitive compensation\n\nAnnual bonus eligibility\n\nA generous retirement plan\n\nHybrid work schedule\n\nHealth and wellness benefits, including online therapy\n\nPaid time off for vacation, illness, medical appointments, and volunteering days\n\nFamily care resources, including fertility and adoption benefits\n\nLearn more about our benefits.\nT. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. 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