FinOps AI / ML Engineer Assoc Director
$163k - $414k • Chicago, Accenture Tower, Corp
Posted 22h ago
About the job
Accenture's Cloud Advisory practice is seeking a senior technology leader to drive FinOps automation at scale using AI. This role involves defining target architectures for agentic AI in FinOps, establishing policy-as-code references, and standing up reusable agentic components and pipelines. You will lead teams to implement FinOps automations across multi-cloud client portfolios, operationalize Accenture's AI standards, and embed security controls within agentic workflows. The position also requires defining KPIs, publishing executive dashboards, and contributing to sales pursuits. Travel may be required based on business and client needs.
Responsibilities
- Define target architecture for agentic AI in FinOps, including single- and multi-agent designs, event-driven agents, and broker/coordination patterns.
- Establish reference models for policy-as-code (cost, budget, commitment, tagging, anomaly response) and Infrastructure as Code (IaC) guardrails.
- Develop reusable agentic components and pipelines for data ingestion, normalization, decisioning, and action orchestration.
- Lead squads in implementing policy-as-code controls and IaC modules for optimization, allocation, and forecasting.
- Operationalize Accenture Agentic AI standards, including registration and monitoring requirements.
- Embed security and access controls (RBAC, secrets, auditability) in agentic workflows and IaC.
- Define KPIs and telemetry for savings, forecast accuracy, allocation coverage, and policy adherence.
- Publish executive dashboards and readouts for finance and product leaders.
- Contribute to offering assets, sales pursuits, and shape Statements of Work (SOWs) and solution architectures.
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 equivalent work experience (minimum 12 years).
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- Long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off