As a Cloud AI Agents FinOps Engineer, you will help build AI agents, tooling, and data-driven solutions that improve cloud cost efficiency, resource utilization, and cost visibility across AWS and Azure. You will work closely with senior engineers and partner teams — to support FinOps and cloud optimization initiatives, gaining hands-on experience while growing your technical depth and impact, including designing and deploying AI agents that streamline FinOps workflows.
Key Responsibilities
Build services, and data pipelines supporting cloud cost optimization and FinOps use cases.
Design, build, and deploy AI agents (using LLM-based frameworks) for FinOps tasks such as cost anomaly detection, rightsizing recommendations, usage analysis, and reporting.
Analyze cloud usage and cost data to help identify optimization opportunities and support data-driven decisions.
Write and maintain clear technical documentation to support knowledge sharing and onboarding.
Technical Skills & Qualifications
Python and foundational software development practices.
Hands-on experience building AI agents or LLM-powered applications , understanding of prompt engineering, tool-calling, and RAG concepts.
AWS and/or Azure, cloud knowledge.
SQL and basic data querying and analysis.
Git and cooperative development workflows; Docker and containerized development concepts.
Experience & Background
4+ years experience in development experience in software engineering, AI agents, or tooling.
Hands-on AWS or Azure cloud exposure.
Prior experience building or experimenting with AI agents/LLM applications.
Interest in cloud cost efficiency, performance optimization, and FinOps concepts.
Collaboration & Communication
Communicates technical thinking clearly across distributed, cross-regional teams, including counterparts in US.
Comfortable working async and adjusting for time-zone overlap to keep initiatives moving.
Shows initiative while knowing when to seek guidance; open to feedback.
Internal Interv