FinOps AI/ML Engineering Lead - Multi-Cloud Automation

Accenture; Arlington (VA); On-site; USD 87,000 - 270,000; Full time

Job summary

Accenture is seeking a senior solution architect and delivery leader to drive FinOps automation and agentic AI programs across multi-cloud environments. The role requires 8–12 years in cloud engineering or platform architecture, with 3–5 years leading FinOps automation and 1 year in agentic AI frameworks and MCP integration.

You will mentor squads, define reference architectures, establish cost governance, and ensure CI/CD integration with automated compliance checks across AWS, Azure, and GCP.

Qualifications

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

Responsibilities

• Define reference architectures for agentic AI orchestration across multi-clouds.
• Establish cost governance frameworks with budget thresholds and tagging.
• Lead squads to implement agentic workflows and IaC modules.
• Mentor junior staff on automation best practices and FinOps standards.
• Operationalize Responsible AI, RBAC, secrets management, and audits.
• Define KPIs and publish dashboards for savings and policy adherence.
• Support proposals, client workshops, and SOW development.

Skills

Cloud engineering

AI automation

Platform architecture

FinOps automation

Agentic AI

MCP integration

Python/TypeScript

IaC tooling

Education

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

Associate’s Degree + 6+ years experience

Tools

Terraform

Bicep

ARM

OP A/Rego

GitHub Actions

Job description

Accenture is seeking a senior solution architect and delivery leader to drive FinOps automation and agentic AI programs across multi-cloud environments. The role requires 8–12 years in cloud engineering or platform architecture, with 3–5 years leading FinOps automation and 1 year in agentic AI frameworks and MCP integration.

You will mentor squads, define reference architectures, establish cost governance, and ensure CI/CD integration with automated compliance checks across AWS, Azure, and GCP.