FinOps AI/ML Lead — Enterprise Cloud Cost Strategy

Accenture; Chicago (IL); On-site; USD 151,000 - 357,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid time off

Job summary

Accenture’s Cloud Advisory practice seeks a senior technology leader to define architectures for agentic AI in FinOps and lead multi-cloud programs across enterprise clients. Expect to shape IaC guardrails, data pipelines, and reusable components for scalable automation. The role emphasizes executive-level business value, governance, and security in fast-moving cloud environments.

Travel may be required. A Bachelor’s degree in CS/Engineering/IT/Data is required, with Master’s preferred.

Qualifications

• Minimum 12 years of experience in cloud/platform engineering, data/AI, or SRE.
• Minimum 5 years of experience driving FinOps automation at scale.
• Minimum 4 years of experience leading multi-workstream, multi-cloud programs at the enterprise level.

Responsibilities

• Define the target architecture for agentic AI in FinOps and the integration blueprint for MCP-enabled tools and clouds.
• Establish the reference model for policy-as-code and IaC guardrails to enforce FinOps standards.
• Stand up reusable agentic components and publish SDKs/templates for delivery squads.
• Lead squads to implement policy-as-code controls and IaC modules for optimization, allocation/showback/chargeback, and forecasting desks.

Skills

Cloud engineering

FinOps

Multi-cloud programs

Executive storytelling

Education

Bachelor’s degree in CS/Engineering/IT/Data

Master’s degree (preferred)

Tools

Terraform/Bicep/ARM

OPA/Rego/Sentinel

Job description

Accenture’s Cloud Advisory practice seeks a senior technology leader to define architectures for agentic AI in FinOps and lead multi-cloud programs across enterprise clients. Expect to shape IaC guardrails, data pipelines, and reusable components for scalable automation. The role emphasizes executive-level business value, governance, and security in fast-moving cloud environments.

Travel may be required. A Bachelor’s degree in CS/Engineering/IT/Data is required, with Master’s preferred.