Senior DevOps Engineer - AI / ML Infrastructure 7-10Yrs

Job Description

Senior DevOps Engineer - AI / ML Infrastructure

Position Overview : We are seeking an experienced Senior DevOps Engineer to build and maintain the production infrastructure for our enterprise AI automation platform. This role combines traditional DevOps expertise with specialized knowledge of AI / ML workloads, focusing on reliability, scalability, and cost optimization of agentic AI systems. The successful candidate will work as part of our Agentic AI development team to ensure robust, production-ready deployments of complex AI workflows.

Key Responsibilities :

• Design and implement CI / CD pipelines for AI applications including model deployment and agent workflows
• Build and maintain Kubernetes clusters optimized for AI workloads including GPU resource management
• Implement comprehensive monitoring and observability for AI systems including custom metrics for model performance
• Develop infrastructure-as-code solutions for scalable AI service deployments
• Establish reliability engineering practices including SLA management and incident response for AI systems
• Optimize cloud infrastructure costs with focus on GPU utilization and LLM API usage
• Implement security and compliance frameworks for AI applications and data pipelines
• Collaborate with development teams to ensure production readiness of AI agents and RAG systems
• Manage multi-cloud deployments and vendor integrations for AI services

Required Qualifications :

AI / ML Infrastructure Requirements :

Site Reliability Engineering Skills :

Preferred Qualifications :

Technical Environment :