FinOps AI / ML Engineer Assoc Director
accentureSeattle (WA)
FinOps AI / ML Engineer Assoc Director
Posted today
accentureSeattle (WA)
SENIORITY
Manager
About the role
Overview:
In this senior leadership role, you will architect agentic AI for FinOps across multi-cloud environments, defining governance, data pipelines, and action-oriented automation. You will lead cross-functional squads to deliver scalable FinOps automation, policy-as-code, and IaC modules that enable cost optimization and accurate forecasting. You will translate complex AI architectures into executive value, shaping offerings and client solutions. This is a chance to influence cloud spend governance at scale within a global consulting context. Compensation / Benefits medical, dental, vision, life, long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Define target architecture for agentic AI in FinOps across single- and multi-agent designs Create reference model for policy-as-code and IaC guardrails to enforce FinOps standards Stand up reusable agentic components and publish SDKs/templates for delivery squads Lead squads to implement policy-as-code controls and IaC modules for optimization and forecasting Operationalize Accenture Agentic AI standards, ensuring compliant data sourcing and approved tooling Embed RBAC, secrets management, and auditability in agentic workflows and IaC aligned with cloud security controls Define KPIs and telemetry; publish dashboards for finance and product leaders Contribute to offering assets and sales pursuits; shape SOWs and solution architectures for agentic-enabled FinOps programs
Key requirements:
12+ years in cloud/platform engineering, data/AI, or SRE 5+ years driving FinOps automation at scale 4+ years leading multi-workstream, multi-cloud programs 1+ year experience in Agentic AI frameworks and MCP integration; Python/TypeScript/Go Bachelor in Computer Science, Engineering, IT, Data or equivalent (minimum 12 years) Executive storytelling capabilities Stakeholder alignment across engineering, finance, security, and procurement Team leadership in a global consulting context Agentic AI frameworks (e.g., LangGraph/AutoGen/Crew-style patterns) MCP integration Python/TypeScript/Go
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