FinOps AI/ML Director: Cloud Economics & Automation

Accenture PLC; Atlanta (GA); On-site; USD 151,000 - 381,000; Full time

Job summary

Accenture is seeking a senior technology leader to drive FinOps automation across cloud platforms and data/AI initiatives. You will define agentic AI architectures, establish policy-as-code standards, and lead multi-cloud delivery squads in enterprise settings.

The role requires deep expertise in cloud engineering, SRE practices, and cross-functional leadership. Expect work across diverse environments with travel, and opportunities to shape strategic client solutions and offerings.

Qualifications

• Senior leader with cloud/platform engineering, data/AI, or SRE background.
• Proven experience driving FinOps automation at scale.
• Experience leading multi-workstream, multi-cloud programs at enterprise level.
• Experience with agentic AI frameworks and MCP integration (Python/TypeScript/Go).
• Bachelor-level degree or equivalent with substantial work experience.

Responsibilities

• Define target architecture for agentic AI in FinOps and MCP integration.
• Set reference models for policy-as-code and IaC guardrails (Terraform/ARM/Bicep).
• Stand up reusable agentic components and publish SDKs/templates for FinOps automation.
• Lead teams to implement policy-as-code controls and IaC modules for optimization and forecasting.
• Operationalize Accenture Agentic AI standards and ensure compliant data sourcing and tooling.
• Embed security and access controls in agentic workflows and IaC, align with cloud security controls.
• Define KPIs and dashboards for savings, forecast accuracy, and policy adherence.
• Contribute to offering assets and sales pursuits; shape SOWs and architectures.

Skills

Cloud engineering

Data/AI

SRE

FinOps automation

Multi-cloud programs

Executive communication

Education

Bachelor's in CS/Engineering/IT

Tools

Terraform

Bicep

ARM

OPA/Rego

Sentinel

Job description

Accenture is seeking a senior technology leader to drive FinOps automation across cloud platforms and data/AI initiatives. You will define agentic AI architectures, establish policy-as-code standards, and lead multi-cloud delivery squads in enterprise settings.

The role requires deep expertise in cloud engineering, SRE practices, and cross-functional leadership. Expect work across diverse environments with travel, and opportunities to shape strategic client solutions and offerings.