Responsibilities:

• Administer and support AI platforms, including Databricks Mosaic AI, cloud AI services, and COTS AI products.
• Run infrastructure provisioning, scaling, and monitoring for AI workloads.
• Implement and maintain CI/CD pipelines for AI applications using Azure DevOps or equivalent.
• Ensure platform security is compliant with ARM and industry standard
• Support AI Developers and ML Engineers with environment setup, configuration, and fix.
• Run API gateways, MCP servers, and integrations for custom AI solutions.
• Automate operational tasks (monitoring, logging).
• Maintain platform documentation, runbooks, and incident response processes.
• Collaborate with cloud, data, and security teams to align AI platform operations with enterprise standards.

Required Skills and Experience:

• Demonstrable experience( 2 to 4 Years) in system administration and/or DevOps engineering.
• Hands-on experience with Azure DevOps (repos, pipelines, releases).
• Familiarity with cloud platforms (Azure, AWS, GCP) and their AI/ML services.
• Experience handling Databricks or similar data/AI platforms.
• Proficiency with infrastructure as code (Terraform, Bicep, Azure Resource Manager, or CloudFormation).
• Experience with monitoring and observability tools (Dynatrace, Cloud-native equivalents).
• Familiarity with identity and access management (IAM) and platform security practices.
• Solid understanding of APIs, integrations, and service administration.

“Nice To Have” Skills and Experience:

• Exposure to MCP servers and multi-agent orchestration frameworks.
• Experience with logging/alerting in AI contexts (e.g., ML observability tools).
• Familiarity with cost optimization for AI/ML workloads in the cloud!
• Knowledge of Microsoft 365.
• Knowledge of COTS AI systems (e.g. OpenAI Enterprise, Anthropic, MS Co-pilot, or equivalent).
• Background in supporting hybrid platforms (mix of vendor solutions and custom deployments)!