FinOps AI / ML Engineer Manager

Accenture•Miami, FL

2d•$80,400 - $293,800•Hybrid

About The Position

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.

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)

Nice To Haves

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)

Responsibilities

Define reference architectures for agentic AI orchestration (multi-agent patterns, event-driven workflows) and MCP integration with AWS, Azure, GCP, and enterprise systems
Establish frameworks for cost governance controls (budget thresholds, tagging, anomaly detection) using OPA/Rego or Sentinel; design IaC guardrails and reusable modules
Lead squads to implement agentic workflows, IaC modules, and policy libraries; ensure CI/CD integration and automated compliance checks
Mentor associate managers, consultants, and analysts on automation best practices and FinOps engineering standards
Operationalize Responsible AI standards (Policy 1010, Standard #7); ensure RBAC, secrets management, and auditability in all agentic workflows
Define KPIs for automation coverage, policy adherence, and realized savings; publish dashboards and executive readouts
Support proposals, client workshops, and SOW development for agentic-enabled FinOps programs