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# FinOps AI / ML Engineer Assoc Director

- **Company:** Accenture
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Role-Based Access Control, Policy as Code, Google Cloud, Data Ingestion, Multi-Agent Systems, Multi-Cloud, Bicep, Terraform
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/finops-ai-ml-engineer-assoc-director-denver-co--09f72679-fb20-4fc8-8d02-b3ad17291936

## About the Role

Artificial Intelligence (AI), Team Player, Economics, Automation, Cloud Computing, Financial Analysis, Artificial Intelligence (AI), Microsoft Windows Azure, Amazon Web Services (AWS), Financial Operations, A senior technology leader with extensive experience in cloud/platform engineering, data/AI, or SRE who has spent years driving FinOps automation at scale. You have proven experience leading multi-workstream, multi-cloud programs and can translate complex agentic AI architectures into tangible, executive-level business value for global enterprise clients.

## Description

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., * 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