FinOps AI/Automation Leader for Multi-Cloud

Accenture PLC; Miami (FL); On-site; USD 120,000 - 260,000; Full time

Job summary

Accenture is seeking a senior solution architect to lead FinOps automation within its Cloud Advisory practice. You will drive multi-cloud governance, agentic AI workflows, and scalable automation across AWS, Azure, and GCP.

The role requires 8–12 years in cloud engineering or platform architecture with 3–5 years leading FinOps automation. Travel may be required; compensation varies by location.

Qualifications

• 8+ years of experience in cloud engineering, AI automation, or platform architecture
• 3+ years leading FinOps automation programs
• 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 equivalent) or 12+ years of work experience

Responsibilities

• Define reference architectures for agentic AI orchestration across AWS, Azure, GCP, and enterprise systems
• Establish frameworks for cost governance controls (budget thresholds, tagging, anomaly detection) with IaC guardrails
• Lead squads to implement agentic workflows, IaC modules, and policy libraries; ensure CI/CD integration and automated checks
• Mentor associate managers, consultants, and analysts on automation best practices and FinOps standards
• Operationalize Responsible AI standards; ensure RBAC, secrets management, and auditability
• 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

Multi-cloud

Leadership

Policy governance

Education

Bachelor's degree in Computer Science, Engineering, IT, Data

Tools

OPA/Rego

Sentinel

Terraform

Bicep/ARM

GitHub Actions

Azure DevOps

Job description

Accenture is seeking a senior solution architect to lead FinOps automation within its Cloud Advisory practice. You will drive multi-cloud governance, agentic AI workflows, and scalable automation across AWS, Azure, and GCP.

The role requires 8–12 years in cloud engineering or platform architecture with 3–5 years leading FinOps automation. Travel may be required; compensation varies by location.