Agentic FinOps AI Lead for Multi-Cloud Systems

Accenture PLC

City of Albany (NY)

On-site

USD 87,000 - 294,000

Full time

3 days ago
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Job summary

Accenture seeks a seasoned solution architect and delivery leader to drive cloud engineering, AI automation, and multi-cloud platform architecture. You will guide FinOps automation programs and ship production-grade automations across AWS, Azure, and Google Cloud.

The role emphasizes building agentic AI systems, governance, and scalable engineering standards while mentoring squads and collaborating with clients. Some travel is required.

Qualifications

  • 8+ years in cloud engineering, AI automation, or platform architecture.
  • 3+ years leading FinOps automation programs.
  • 1 year experience in agentic AI frameworks and MCP integration.
  • Bachelor’s degree in Computer Science, Engineering, IT, Data or equivalent work experience.

Responsibilities

  • Define reference architectures for agentic AI orchestration across multi-cloud environments.
  • Establish cost governance frameworks using policy engines and IaC guardrails.
  • Lead squads to implement agentic workflows, IaC modules, and policy libraries with CI/CD integration.
  • Mentor managers, consultants, and analysts on automation best practices.
  • Operationalize Responsible AI standards with RBAC, secrets management, and auditability.
  • Define KPIs for automation coverage and savings; publish dashboards.

Skills

Cloud engineering
AI automation
Platform architecture

Education

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

Tools

Python/TypeScript
IaC (Terraform/Bicep/ARM)
Policy-as-code engines (OPA/Rego, Sentinel)
CI/CD tools (GitHub Actions, Azure DevOps)

Job description

Accenture seeks a seasoned solution architect and delivery leader to drive cloud engineering, AI automation, and multi-cloud platform architecture. You will guide FinOps automation programs and ship production-grade automations across AWS, Azure, and Google Cloud.

The role emphasizes building agentic AI systems, governance, and scalable engineering standards while mentoring squads and collaborating with clients. Some travel is required.

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