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Reimagining what's possible for food and agriculture
The Role
Lead AI FinOps capability: build token and unit cost models, embed cost signals into platforms and CI/CD, create cost pipelines, governance, forecasts, dashboards, and chargeback systems to enable cost-aware AI decisions and optimization.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Scope & Complexity
Qualifications
Preferred Qualifications
- The AI Platform FinOps Sr. Engineer enables cost visibility, financial accountability, and optimization of AI/ML workloads across Cargill's hybrid technology landscape.
This role combines AI platform knowledge, data engineering, and FinOps practices to establish token economics, unit cost models, and cost guardrails, enabling informed trade‑offs between cost, performance, and scale as AI adoption accelerates.
The position plays a critical role in advancing FinOps into a Technology Economics capability across AI, cloud, and data platforms.
Key Accountabilities
- AI Cost Visibility & Token Economics- Establish and operationalize cost models (token, model, agent level) and enable enterprise‑level AI cost transparency
- Cost Optimization & Guardrails- Identify optimization levers (model selection, token efficiency, workload sizing) and define cost guardrails for AI workloads
- Platform & Workflow Integration - Embed cost signals into CI/CD pipelines, ServiceNow workflows, and AI platform tooling to enable shift‑left decisioning
- Cost Data Engineering & Insights - Develop cost pipelines, attribution models, and dashboards to deliver decision‑ready insights across AI workloads
- Governance & Automation - Implement policy-based controls, anomaly detection, and automated enforcement for AI cost management
- Forecasting & Budgeting: Build financial forecasting models for AI workload growth, token consumption, and infrastructure spend. Provide quarterly and annual budget projections to leadership.
- FinOps Enablement - Partner with platform and product teams to drive adoption and embed cost accountability into engineering and product decisions
- Reporting & Analysis: Create executive dashboards, financial health reports, and cost trend analysis. Present findings to leadership and brand teams to inform strategic decisions.
- Chargeback & Showback Models: Design and operate chargeback systems that fairly allocate AI infrastructure costs to consuming brand teams, enabling transparent cost-benefit analysis of AI adoption.
Scope & Complexity
- Works independently on complex, cross-platform AI cost and economics problems
- Influences decisions across AI, cloud, and data platform teams
- Owns end‑to‑end problem areas, including design, implementation, and adoption
- Drives FinOps capability creation in an emerging domain (AI FinOps)
Qualifications
- Minimum requirement of 10 years of relevant work experience. Min. 5 years in engineering-led FinOps / Technology Economics role
- Bachelor's or Master's degree in Engineering, Computer Science, or related field
- Experience in:
- Cloud platforms (Azure, AWS)
- AI/ML services (Azure OpenAI, Bedrock and emerging AI/ML platforms)
- Data engineering / analytics
- Strong understanding of:
- FinOps principles and cloud cost management
- Distributed systems and API-based consumption models
Preferred Qualifications
- Experience with LLM/token-based pricing models (OpenAI, Claude, Bedrock APIs)
- Exposure to AI ecosystem tools:
- TrueFoundry, AgentCore, LangSmith, Abacus.ai, Pinecone
- Enterprise AI assistants (ChatGPT Enterprise, M365 Copilot, GitHub Copilot)
- Experience with:
- Datadog Cloud Cost Management, cloudability or equivalent
- Cost attribution, anomaly detection, and unit economics modeling
- Familiarity with:
- CI/CD pipelines and shift-left engineering practices
- Policy-as-code and automated guardrails
- Experience in unit economics modeling (cost per transaction, agent, or product)
Skills Required
- 10 years of relevant work experience
- Minimum 5 years in engineering-led FinOps or Technology Economics role
- Bachelor's or Master's degree in Engineering, Computer Science, or related field
- Experience with cloud platforms: Azure and AWS
- Experience with AI/ML services (Azure OpenAI, Bedrock and emerging AI/ML platforms)
- Experience in data engineering and analytics
- Strong understanding of FinOps principles and cloud cost management
- Strong understanding of distributed systems and API-based consumption models
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Cargill offers immediate 401(k) eligibility with a defined employer match, alongside additional vehicles such as an ESOP and company-supported tools for savings. Feedback suggests these features make long-term retirement readiness a strong part of the total package.
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Leave & Time Off Breadth — Paid time off scales meaningfully with tenure on a clear annual cycle, and paid family leave covers both bonding with a new child and caregiving needs. Feedback suggests the combined PTO and leave programs compare favorably with common large-employer offerings.
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Parental & Family Support — Adoption and surrogacy reimbursement, Bright Horizons childcare solutions, and Milk Stork complement the paid family leave program. These resources indicate a family-forward design that supports key life events and caregiving logistics.
Cargill Insights
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
