FinOps AI / ML Engineer Manager
$94,400 to $293,800
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Posted 4 days ago
SENIORITY
Manager
SALARY
$94,400 to $293,800
About the role
- Define reference architectures for agentic AI orchestration (multi-agent patterns, event-driven workflows) and MCP integration with AWS, Azure, GCP, and enterprise systems
- Establish frameworks for cost governance controls (budget thresholds, tagging, anomaly detection) using OPA/Rego or Sentinel; design IaC guardrails and reusable modules
- Lead squads to implement agentic workflows, IaC modules, and policy libraries; ensure CI/CD integration and automated compliance checks
- Mentor associate managers, consultants, and analysts on automation best practices and FinOps engineering standards
- Operationalize Responsible AI standards (Policy 1010, Standard #7); ensure RBAC, secrets management, and auditability in all agentic workflows
- Define KPIs for automation coverage, policy adherence, and realized savings; publish dashboards and executive readouts
- Support proposals, client workshops, and SOW development for agentic-enabled FinOps programs
- Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture
- Minimum of 3 years leading FinOps automation programs
- Minimum 1 year experience in agentic AI frameworks (LangGraph, AutoGen, Crew-style patterns) and MCP integration
- 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
- You have proficiency in Python/TypeScript; IaC (Terraform/Bicep/ARM); policy-as-code engines (OPA/Rego, Sentinel); CI/CD tools (GitHub Actions, Azure DevOps)
- You have additional certifications in Responsible AI or Cloud Architecture
- You have team lead or mentoring experience in a consulting or engineering organization
- Master's degree in Computer Science, Engineering, IT, Data (or similar field)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
