Key Responsibilities

Traditional Cloud & Compute Optimization

AWS Commitment Optimization:

Container Cost Allocation:

Architectural Efficiency:

FinOps for AI & Tokenomics Governance

Tokenomics Lifecycle Management:.

GenAI Cost Control & us.

Inference &

AI for FinOps Operations

Intelligent Automation: (VTags).

Non-Deterministic Forecasting:

Required Experience & Skills:

3+ years of direct experience in FinOps, Cloud Cost Management, and Cost

Optimization, with a heavy emphasis on the AWS ecosystem.

1+ years of practical experience managing AI/ML infrastructure costs or

governing LLM/GenAI token pipelines.

7+ years of overall experience in cloud computing, infrastructure engineering, or

IT financial management.

Deep Technical Vocabulary: Clear understanding of AI infrastructure primitives,

including GPU right-sizing, vector database scaling, context window economics,

and prompt caching strategies.

Financial Literacy: Ability to converse fluently with corporate CFOs regarding

CapEx/OpEx shifts, TCO/ROI scenario analysis, and shifting metrics from "total

token burn" to "value delivered per token."

Framework Mastery: Familiarity with the FinOps Framework (Inform, Optimize,

Operate) and the newly emerging open standards from the Tokenomics

Foundation and FOCUS (Framework for Open Cost Code).

Certifications (Required):

FinOps Certified Practitioner (FCP) or FinOps Certified Professional.

AWS Certification (e.g., AWS Certified Solutions Architect Associate or SysOps

Administrator).

Desirables

FinOps Foundation AI Value or Technology Value Certifications.

Strong background in building data visualization pipelines.

Academic background in Business, Finance, Data Science, or Computer

Science.