FinOps AI / ML Engineer Assoc Director

We Are: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.You Are: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.The Work: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 systemsEstablish the reference model for policy-as-code (cost, budget, commitment, tagging, anomaly response) and IaC guardrails (Terraform/ARM/Bicep) to enforce FinOps standards across environmentsStand up reusable agentic components and pipelines (data ingestion, normalization, decisioning, action orchestration), and publish SDKs/templates so delivery squads can snap-in FinOps automationsLead 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 portfoliosOperationalize 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 toolingEmbed security and access controls (RBAC, secrets, auditability) in agentic workflows and IaC; align with cloud security controls as applicableDefine KPIs and telemetry for realized savings, forecast accuracy, allocation coverage, and policy adherence; publish executive dashboards and readouts for finance and product leadersContribute to offering assets and sales pursuits; shape SOWs and solution architectures for agentic-enabled FinOps programsTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

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.

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.