FinOps AI / ML Engineer Manager

Accenture's Cloud Advisory practice is a market leader in helping global enterprises achieve measurable financial and operational value from their cloud investments. Our FinOps and Cloud Economics teams combine rigorous financial governance with automation, AI, and deep technical expertise to drive sustained savings and speed-to-value across AWS, Azure, and Google Cloud. We are a collaborative team of architects, engineers, financial analysts, and delivery experts who partner with world-class clients to transform how they manage, optimize, and govern cloud spend.

About the role

You will define reference architectures for agentic AI orchestration (multi-agent patterns, event-driven workflows) and integrate them with AWS, Azure, GCP, and enterprise systems. Establish frameworks for cost governance controls (budget thresholds, tagging, anomaly detection) using OPA/Rego or Sentinel, and design IaC guardrails and reusable modules. Lead squads to implement agentic workflows, IaC modules, and policy libraries, ensuring CI/CD integration and automated compliance checks. Mentor team members on automation best practices and FinOps engineering standards, operationalize Responsible AI standards, and define KPIs for automation coverage, policy adherence, and realized savings. Support proposals, client workshops, and SOW development for agentic-enabled FinOps programs.

Travel may be required for this role, ranging from 0 to 100% depending on business need and client requirements.

Requirements

• Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture
• Minimum of 3 years leading FinOps automation programs
• Minimum 1 year experience in agentic AI frameworks (LangGraph, AutoGen, Crew-style patterns) and MCP integration
• Bachelor's degree in Computer Science, Engineering, IT, Data (or similar field) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Preferred Qualifications

• FinOps Certified Practitioner (FOCP) credential or CSP cloud certifications
• Proficiency in Python/TypeScript; IaC (Terraform/Bicep/ARM); policy-as-code engines (OPA/Rego, Sentinel); CI/CD tools (GitHub Actions, Azure DevOps)
• Additional certifications in Responsible AI or Cloud Architecture
• Team lead or mentoring experience in a consulting or engineering organization
• Master's degree in Computer Science, Engineering, IT, Data (or similar field)

Pay

Compensation varies by location and experience. The following ranges are provided as required by local law:

• California: $94,400 to $293,800
• Cleveland: $87,400 to $235,000
• Colorado: $94,400 to $253,800
• District of Columbia: $100,500 to $270,300
• Illinois: $87,400 to $253,800
• Maine: $80,400 to $216,200
• Maryland: $94,400 to $253,800
• Massachusetts: $94,400 to $270,300
• Minnesota: $94,400 to $253,800
• New York: $87,400 to $293,800
• New Jersey: $100,500 to $293,800
• Virginia: $87,400 to $270,300
• Washington: $100,500 to $270,300

Benefits

Accenture offers a market-competitive suite of benefits including:

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays and paid time off

For more details, visit U.S. Employee Benefits | Accenture.