FinOps AI / ML Engineer Assoc Director

Accenture•Miami, FL

2d•$138,800 - $413,600•Remote

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 12 years of experience in cloud/platform engineering, data/AI, or SRE
Minimum of 5 years of experience driving FinOps automation at scale
Minimum of 4 years of experience leading multi-workstream, multi-cloud programs at the enterprise level
Minimum 1 year experience in Agentic AI frameworks (e.g., LangGraph/AutoGen/Crew-style patterns), MCP integration, and Python/TypeScript/Go
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 (AWS/Azure/GCP)
Proficiency in IaC (Terraform/Bicep/ARM) and policy-as-code engines (OPA/Rego, Sentinel)
Executive storytelling capabilities; skilled at building value cases and aligning stakeholders across engineering, finance, security, and procurement
Additional coursework or certifications in Responsible AI or Cloud Architecture
Team lead experience in a global consulting or professional services firm
External client-facing consulting experience at the C-suite or executive level
Master's degree in Computer Science, Engineering, IT, Data (or similar field)

Responsibilities

Define the target architecture for agentic AI in FinOps (single- and multi-agent designs; event-driven agents; broker/coordination patterns) and the integration blueprint for MCP-enabled tools, clouds, and enterprise systems
Establish the reference model for policy-as-code (cost, budget, commitment, tagging, anomaly response) and IaC guardrails (Terraform/ARM/Bicep) to enforce FinOps standards across environments
Stand up reusable agentic components and pipelines (data ingestion, normalization, decisioning, action orchestration), and publish SDKs/templates so delivery squads can snap-in FinOps automations
Lead squads (Managers/Consultants) to implement policy-as-code controls and IaC modules for optimization, allocation/showback/chargeback, and forecasting desks—scaling across multi-cloud client portfolios
Operationalize Accenture Agentic AI standards and registration/monitoring requirements (Policy 1010 and Standard #7) for client solutions; ensure compliant data sourcing and use of approved enterprise AI tooling
Embed security and access controls (RBAC, secrets, auditability) in agentic workflows and IaC; align with cloud security controls as applicable
Define KPIs and telemetry for realized savings, forecast accuracy, allocation coverage, and policy adherence; publish executive dashboards and readouts for finance and product leaders
Contribute to offering assets and sales pursuits; shape SOWs and solution architectures for agentic-enabled FinOps programs