AI Platform Engineering
Platform Engineer
Position Title: Engineer, Platform Engineering
Function: Technology
Experience: 5–8 Years
Location: Bangalore, India
Reporting: Individual Contributor (No Direct Reports)

Role Summary
The Platform Engineer is responsible for owning and continuously enhancing the enterprise Data & AI Platform, including compute, storage, orchestration, semantic layer, AI services, and platform infrastructure. The role focuses on building scalable data and AI capabilities through automation, DevOps, Infrastructure as Code (IaC), governance, observability, security, and cloud optimization while enabling enterprise AI initiatives.

Key Responsibilities
Own and continuously enhance the enterprise Data & AI Platform, including compute, storage, orchestration, semantic layer, AI services, and platform infrastructure.
Build, automate, and maintain scalable data and AI pipelines using Infrastructure as Code (IaC), CI/CD, and DevOps best practices.
Enable enterprise AI capabilities, including semantic models, AI agents, MCP integrations,



and reusable platform services.
Lead platform upgrades, migrations, performance optimization, and technology adoption to improve scalability, resilience, and reliability.
Implement platform observability across data pipelines, AI services, platform health, usage, and operational SLAs.
Establish and enforce platform security, data governance, AI governance, compliance, privacy, and auditability standards.
Enable secure self-service access through semantic models, data products, catalogs, and role-based access controls (RBAC).
Optimize cloud infrastructure, platform performance, operational costs, and AI usage costs.
Collaborate with Data Engineers, AI Engineers, Data Scientists, Analytics teams, and business stakeholders to deliver enterprise Data & AI capabilities.
Evaluate, onboard, and operationalize emerging technologies across Data, AI, Agentic AI, MCP, and analytics platforms.
Define engineering standards, reusa

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