FinOps AI/ML Lead, Associate Director - Cloud Economics

Accenture PLC; Illinois; On-site; AUD 236,000 - 605,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a senior technology leader to drive FinOps automation at scale, focusing on agentic AI architectures, multi-cloud program leadership, and translating complex AI designs into executive value. You will define reference models, implement policy-as-code, and lead delivery squads across global clients.

This role requires extensive cloud engineering, data/AI expertise, and security-conscious engineering.

Qualifications

• 12+ years of experience in cloud/platform engineering, data/AI, or SRE.
• 5+ years of experience driving FinOps automation at scale.
• 4+ years of experience leading multi-workstream, multi-cloud programs at enterprise level.
• 1+ year experience in Agentic AI frameworks and MCP integration; Python/TypeScript/Go.

Responsibilities

• Define target architecture for agentic AI in FinOps across clouds.
• Establish policy-as-code model 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 and forecasting.
• Operationalize Accenture Agentic AI standards and ensure compliant data sourcing.

Skills

Cloud engineering

Data/AI

SRE

FinOps automation

Multi-cloud programs

Education

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

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

Tools

Python

TypeScript

Go

Terraform

Bicep

ARM

Job description

Accenture is seeking a senior technology leader to drive FinOps automation at scale, focusing on agentic AI architectures, multi-cloud program leadership, and translating complex AI designs into executive value. You will define reference models, implement policy-as-code, and lead delivery squads across global clients.

This role requires extensive cloud engineering, data/AI expertise, and security-conscious engineering.