FinOps AI ML Engineer Manager, Multicloud & Agentic Automation
Overview
Owns multi cloud FinOps automation programs at scale, leading architecture and delivery for agentic AI orchestrations across AWS Azure and GCP. You will mentor squads, define reference architectures for multi agent workflows and enforce governance, security and responsible AI standards. This role sits at the crossroads of cloud engineering AI automation and financial governance, delivering real cost savings and faster value realization.
What You'll Do5
- 1Lead squads to ship agentic workflows IaC modules and policy libraries with CI CD integration and automated compliance checks
- 2Define reference architectures for agentic AI orchestration and MCP integration with aws azure gcp
- 3Establish cost governance frameworks with budget thresholds tagging and anomaly detection using policy engines such as opa rego or sentinel
- 4Mentor associate managers consultants and analysts on automation best practices and FinOps standards
- 5Operationalize Responsible AI standards ensure RBAC secrets management and auditability across agentic workflows
Requirements5
- 1Minimum of 8 years of experience in cloud engineering AI automation or platform architecture
- 2Minimum of 3 years leading FinOps automation programs
- 3Minimum 1 year experience in agentic AI frameworks (LangGraph AutoGen Crew style patterns) and MCP integration
- 4Bachelor's degree in Computer Science Engineering IT Data or equivalent
- 5Proficiency in Python/TypeScript IaC Terraform Bicep ARM policy as code engines (OPA Rego Sentinel) CI CD tooling
Salary Insight
$87 - $294k per year
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