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

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