FinOps AI Architect Lead — Multi-Cloud Enterprise

Accenture PLC; Kirkland (WA); Sur place; USD 174 000 - 381 000; Plein temps

Résumé du poste

Accenture is seeking a senior technology leader to drive FinOps automation at scale within cloud/platform engineering, data/AI, or SRE. You will guide multi-cloud programs, translate agentic AI architectures into executive-level business value, and shape governance for global clients.

Responsibilities include defining target architecture for agentic AI in FinOps, building reusable components, leading delivery squads, and publishing SDKs/templates for rapid client delivery. Travel may be required.

Qualifications

• Minimum 12 years in cloud/platform engineering, data/AI, or SRE.
• Minimum 5 years driving FinOps automation at scale.
• Minimum 4 years leading multi-workstream, multi-cloud programs.
• Minimum 1 year experience in Agentic AI frameworks and MCP integration.
• Proficiency in Python/TypeScript/Go and IaC tooling.
• Strong executive storytelling for value cases and stakeholder alignment.

Responsabilités

• Define the target architecture for agentic AI in FinOps and integration blueprint.
• Establish policy-as-code references and IaC guardrails across environments.
• Stand up reusable agentic components and publish SDKs/templates.
• Lead delivery squads to implement policy-as-code and IaC modules.
• Operationalize Agentic AI standards and ensure compliant data sourcing.
• Embed security controls and align with cloud security standards.

Connaissances

Cloud/platform engineering

FinOps automation

Multi-cloud programs

Agentic AI frameworks

Python/TypeScript/Go

Executive storytelling

Formation

Bachelor's degree in Computer Science, Engineering, IT, Data (or similar field)

Outils

Terraform

ARM

Bicep

OPA

Rego

Sentinel

Description du poste

Accenture is seeking a senior technology leader to drive FinOps automation at scale within cloud/platform engineering, data/AI, or SRE. You will guide multi-cloud programs, translate agentic AI architectures into executive-level business value, and shape governance for global clients.

Responsibilities include defining target architecture for agentic AI in FinOps, building reusable components, leading delivery squads, and publishing SDKs/templates for rapid client delivery. Travel may be required.