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Tier-1 brand plus metro location but niche FinOps specialization limits applicant density.
Role requires specialized FinOps and agentic AI expertise, reducing cross-industry transferability.
Requires hands-on cloud FinOps, AI/LLM knowledge and governance expertise, enforcing strict technical filters.
Lead cloud cost optimization initiatives including code-level and infrastructure improvements to reduce spend and prevent technical debt.
Develop and maintain FinOps data analytics platforms offering real-time spend insights, forecasting, anomaly detection, and AI agent cost telemetry.
Design and govern FinOps policies focused on autonomous AI agent workflows, including budget controls, cost attribution, and autonomous optimization execution oversight.
Hands-on experience with cloud architecture and cost optimization (AWS, Azure, GCP).
Knowledge of FinOps principles, cloud financial governance, and cost models.
Understanding of LLMs, multi-agent AI architectures, RAG workflows, and associated AI operational costs.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating Agentic AI systems within cloud FinOps frameworks, handling autonomous AI agents at enterprise scale.
Skilled in cross-functional collaboration translating complex cloud and AI cost data into actionable governance policy and stakeholder alignment.
Strategic thinker with expertise in continuous cloud and AI cost optimization, including SKU, licensing, GPU provisioning, and model lifecycle management.