FinOps AI/ML Manager - Multi-Cloud Cost Automation

Information Technology Senior Management Forum; Chicago (IL); On-site; USD 87,000 - 254,000; Full time

Job summary

Accenture is seeking a seasoned cloud architecture and delivery leader to drive agentic AI automation across AWS, Azure, and Google Cloud. The role focuses on cost governance, reference architectures, and scalable IAM controls, with leadership of cross-functional squads and participation in client workshops.

You will mentor managers and analysts, ensuring production-grade automations, CI/CD integration, and policy-driven compliance. Travel may be required.

Qualifications

• Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture.
• Minimum of 3 years leading FinOps automation programs.
• Minimum 1 year experience in agentic AI frameworks (LangGraph, AutoGen, Crew-style patterns) and MCP integration.
• Bachelor's degree in Computer Science, Engineering, IT, Data (or similar field) or equivalent work experience.

Responsibilities

• Define reference architectures for agentic AI orchestration across multi-cloud environments.
• Establish frameworks for cost governance controls using IaC guardrails and policy engines.
• Lead squads to implement agentic workflows and CI/CD integrations with automated compliance checks.
• Mentor associate managers, consultants, and analysts on automation best practices.
• Operationalize Responsible AI standards, RBAC, secrets management, and auditability in all workflows.
• Define KPIs for automation coverage and savings; publish dashboards and executive readouts.
• Support proposals, client workshops, and SOW development for agentic FinOps programs.

Skills

Cloud engineering

AI automation

Platform architecture

FinOps automation

Leadership

Agentic AI

Education

Bachelor's in CS/Engineering/IT/Data

Tools

OPA/Rego

Sentinel

Terraform

Bicep/ARM

GitHub Actions

Azure DevOps

Job description

Accenture is seeking a seasoned cloud architecture and delivery leader to drive agentic AI automation across AWS, Azure, and Google Cloud. The role focuses on cost governance, reference architectures, and scalable IAM controls, with leadership of cross-functional squads and participation in client workshops.

You will mentor managers and analysts, ensuring production-grade automations, CI/CD integration, and policy-driven compliance. Travel may be required.