AI Platform Engineer (FinOps/Cost Management for AI Workloads)

Compensation: ₹5L – ₹14L • 1.0% – 2.0%

Contract Role for 6-8 Months Later you'll be converted as permanent with the client Until Contract: Work from Home (Remote) After Permanent: Work from Office to Client Location (Pune) **Designation: AI Platform Engineer Experience: 4+ Years (Minimum) Budget: Max 14 LPA Immediate to 20 days Notice period is only allowed ** We're looking for an AI Platform Engineer to own the deployment, management, and optimization of our enterprise generative AI ecosystem. You'll lead the end-to-end rollout of key AI models — specifically Gemini Enterprise and Claude — ensuring seamless data connectivity, strong adoption tracking, and strict FinOps discipline.

Responsibilities: Deploy and manage enterprise AI model integrations (Gemini Enterprise, Claude) Build and maintain data connectivity pipelines between AI platforms and internal systems Track usage, adoption, and ROI metrics across the AI ecosystem Own cost monitoring and optimization (FinOps) for AI spend Set up governance, access controls, and security practices for model usage Partner with product and business teams to drive adoption

Key Skills: LLM platform deployment (Gemini Enterprise, Claude/Anthropic API, or similar) API integration and data pipeline development Cloud platforms (GCP/AWS/Azure) FinOps / cost management for AI workloads Usage analytics and dashboarding (adoption tracking) Understanding of enterprise AI governance and security Strong communication for cross-functional rollout