Senior AI FinOps Engineer: Cost Governance for Production AI

NCS Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NCS Group is seeking an AI FinOps Engineer to monitor token usage, optimize model selection, and implement cost governance across client engagements. You will build dashboards and cost reports, establishing defensible cost insights with AI Architects and Cloud Architects.

Senior level responsibilities include owning FinOps standards, guiding pricing conversations, mentoring engineers, and shaping NCS-wide AI cost governance best practices.

Qualifications

• 2+ years in cloud FinOps, cost engineering, or a related technical-finance role, ideally with exposure to AI/ML workloads.
• 5+ years with end-to-end cost governance ownership expected at Senior level.
• Solid understanding of LLM pricing models (token-based, per-request, reserved capacity) across major providers (OpenAI, Azure, AWS Bedrock, Vertex).
• Able to translate technical usage data into clear, non-technical cost narratives for engagement leads and clients.
• Comfortable working with cost/usage data — SQL, spreadsheet modelling, and basic scripting (Python) for automation and dashboards.

Responsibilities

• Cost Monitoring & Optimisation across client engagements with per-model visibility.
• Model the cost implications of scaling POC/POV to production volume for pricing discussions.
• Governance & Reporting: produce regular cost transparency reports for engagement leads and clients.

Skills

Cloud FinOps

Cost governance

Cost reporting

Tools

Kubecost

AWS Cost Explorer

Azure Cost Management

GCP Billing

Job description

NCS Group is seeking an AI FinOps Engineer to monitor token usage, optimize model selection, and implement cost governance across client engagements. You will build dashboards and cost reports, establishing defensible cost insights with AI Architects and Cloud Architects.

Senior level responsibilities include owning FinOps standards, guiding pricing conversations, mentoring engineers, and shaping NCS-wide AI cost governance best practices.