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. 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 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 Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s What You Need 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) Bonus Points If You hold a FinOps Certified Practitioner (FOCP) credential or CSP cloud certifications (AWS/Azure/GCP) You have proficiency in IaC (Terraform/Bicep/ARM) and policy-as-code engines (OPA/Rego, Sentinel) You have Executive storytelling capabilities; skilled at building value cases and aligning stakeholders across engineering, finance, security, and procurement You have additional coursework or certifications in Responsible AI or Cloud Architecture You have team lead experience in a global consulting or professional services firm You have external client‑facing consulting experience at the C‑suite or executive level Master's degree in Computer Science, Engineering, IT, Data (or similar field) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $163,000 to $413,600 Cleveland $150,900 to $330,900 Colorado $163,000 to $357,400 District of Columbia $173,500 to $380,500 Illinois $150,900 to $357,400 Maine $138,800 to $304,400 Maryland $163,000 to $357,400 Massachusetts $163,000 to $380,500 Minnesota $163,000 to $357,400 New York $150,900 to $413,600 New Jersey $173,500 to $413,600 Virginia $150,900 to $380,500 Washington $173,500 to $380,500 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. 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