01Overview
AI Platform Engineer (Enterprise AI Infrastructure)
Experience: 812 Years
Location: Mumbai
Work Mode: Hybrid (3 days/week WFO mandatory)
Engagement: 12 Months C2H
Budget: 22 LPA
Joining: Immediate joiners only
Role Overview
We are seeking a Staff-Level AI Platform Engineer to build and operate enterprise-grade AI infrastructure for production systems. This role focuses on architecting and managing scalable AI platforms across training, inference, and MLOps environments.
The ideal candidate must have deep experience in Kubernetes, cloud-native architectures, CI/CD pipelines, and production AI system reliability.
Key Responsibilities
Architect and manage AI infrastructure supporting model training and inference workloads.
Build scalable and secure AI platforms for enterprise-grade deployments.
Own reliability, availability, scalability, and security of AI systems.
Design and implement MLOps pipelines and CI/CD workflows.
Optimize Kubernetes-based deployments for AI workloads.
Collaborate with AI engineers and product teams to productionize AI models.
Implement monitoring, logging, and observability frameworks.
Drive platform-level governance, compliance, and infrastructure best practices.
Required Skills 812+ years building and operating enterprise-grade platforms Strong experience in production AI infrastructure Deep expertise in Kubernetes Strong cloud experience (AWS/Azure/GCP)
CI/CD and DevOps practices Strong Go (preferred) or Python Experience working with AI coding assistants
Preferred
Experience managing distributed AI workloads
Experience in large-scale MLOps environments
Exposure to AI governance and model lifecycle management .
