Architect - Gen AI

Key Responsibilities
Traditional Cloud & Container Cost Allocation: Architectural Efficiency: FinOps for AI & GenAI Cost Control & Inference & AI for FinOps Operations Intelligent Automation: Leverage GenAI-driven FinOps capabilities and tools to automate cloud metadata scanning, anomaly detection, and virtual tagging(VTags).Non-Deterministic Forecasting: Utilize machine learning models to transition clients away from static cloud budgeting toward rolling, algorithmic forecasts capable of predicting volatile, agentic AI workloads.
Technical and Professional Expertise
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.