Overview:
In this role you drive cost governance and automated cloud optimisation for enterprise clients across AWS, Azure, and GCP. You lead cross-functional squads delivering production-grade agentic AI automations and IaC guardrails that scale cost savings. You partner with FinOps and Cloud Economics teams to define reference architectures and governance frameworks, aligning AI, automation, and security with enterprise needs. You’ll mentor teams, shape KPIs, and help win client engagements. Compensation / Benefits medical, dental, vision, life, and long-term disability coverage 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Define reference architectures for agentic AI orchestration across multi-cloud and enterprise systems Establish cost governance frameworks including budgets, tagging, and anomaly detection using policy engines Lead squads to implement agentic workflows, IaC modules, and policy libraries with CI/CD integration Mentor associates and analysts on automation best practices and FinOps standards Operationalize Responsible AI controls (RBAC, secrets management, auditability) in agentic workflows Define automation and policy KPIs and publish dashboards for stakeholders Support client workshops, proposals, and SOWs for agentic-enabled FinOps programs
Key requirements:
8+ years in cloud engineering, AI automation, or platform architecture 3+ years leading FinOps automation programs 1+ year experience with agentic AI frameworks (e.g., LangGraph, AutoGen, Crew-style) and MCP integration Bachelor's degree in Computer Science, Engineering, IT, Data, or equivalent experience (or 12+ years work exp) leadership and mentoring cross-team collaboration strong communication LangGraph AutoGen Crew-style patterns