Ai & Llm Infrastructure Finops Analyst

Bloomberg LP

New York, US
Base: $160,000 - $220,000 usd annual; bonus: incen...
On-site
5+ years in finops or cloud financial management
Direct experience managing aws azure gcp spend
Experience with azure openai or similar platform consoles
This role requires owning cost architecture, optimization, and financial observability across AI and LLM platforms at the intersection of ML engineering and finance

Job Summary

  • This role requires owning cost architecture, optimization, and financial observability across AI and LLM platforms at the intersection of ML engineering and finance.
  • The successful candidate will implement chargeback models, build cost allocation pipelines, and define unit economics for AI usage including cost per request and workflow.
  • Bloomberg offers a comprehensive benefits plan including medical, dental, vision, 401(k) match, and incentive compensation for exempt roles.

Matching Summary

This role requires owning cost architecture, optimization, and financial observability across AI and LLM platforms at the intersection of ML engineering and finance.

Salary

Base: $160,000 - $220,000 USD Annual; Bonus: Incentive compensation (exempt roles only); Benefits: Comprehensive medical, dental, vision, 401(k) + match, life insurance

Skills & Requirements

Must-have

  • 5+ years in FinOps or cloud financial management
  • Direct experience managing AWS Azure GCP spend
  • Experience with Azure OpenAI or similar platform consoles
  • Strong understanding of AI platform engineering and LLM pricing mechanics
  • Proficiency in SQL Python and BI tools like QlikSense

Nice-to-have

  • Ability to communicate complex cost structures to stakeholders
  • Experience embedding FinOps practices within engineering teams
  • Understanding of inference optimization techniques and GPU utilization

Key Requirements

  • 5+ years in FinOps or technical finance
  • Degree in Computer Science Engineering Mathematics or equivalent experience
  • Experience with Kubernetes-based ML workloads

Work Rights

Not specified

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