AI & LLM Infrastructure FinOps Analyst
Tasks
- Analyze idle capacity and overprovisioning
- Automate cost pipelines with SQL and Python
- Balance latency, quality, and cost
- Build AI and LLM cost dashboards
- Create cost allocation pipelines from cloud billing exports
- Detect cost anomalies and usage spikes
- Develop cost governance and unit economics
- Evaluate on demand reserved capacity and self hosted tradeoffs
- Forecast AI cost demand
- Implement FinOps tooling for AI LLM
- Implement chargeback and showback models
- Integrate cost telemetry into monitoring tooling
- Monitor LLM spend and usage
- Optimize provisioned throughput capacity
- Right size model selection and inference configurations
- Set anomaly detection and spend guardrails
- Standardize multi cloud multi model cost metrics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CUR | Anomaly Detection | Anthropic | Azure Cost Management | Azure OpenAI | Chargeback | Cloud billing | Cloud financial management | Cost Allocation | Cost Management | FinOps | Financial Management | Forecasting | GPU Utilization | Google Cloud | Google Cloud Billing | Inference Optimization | Kubernetes | OpenAI API | Provisioned Throughput | Python | Qlik Sense | Reserved capacity | SQL | Showback
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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