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Vrinda International

AI PLATFORM ENGINEER (FDE)

Posted 12 Days Ago
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In-Office or Remote
Hiring Remotely in Karnataka, IND
Senior level
In-Office or Remote
Hiring Remotely in Karnataka, IND
Senior level
Own and enhance enterprise Data and AI platforms across compute, storage, orchestration, semantic layers, AI services, and infrastructure. Build scalable batch, streaming, and AI-enabled pipelines; automate infrastructure with IaC, CI/CD, and DevOps; implement governance, security, observability, and RBAC; optimize cloud and AI costs; manage upgrades, migrations, incidents, SLAs, and capacity planning; and operationalize emerging AI technologies.
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HIRING | AI PLATFORM ENGINEER (FDE)

 Bangalore | Hybrid
 Experience: 5–8 Years
 CTC: Up to ₹28 LPA

 ROLE OVERVIEW

We are looking for an AI Platform Engineer to own and enhance enterprise Data & AI platforms covering compute, storage, orchestration, semantic layers, AI services and platform infrastructure. The role focuses on automation, AI enablement, governance, observability and cloud optimization.? MUST-HAVE SKILLS

• Enterprise Data & AI Platform Architecture
• Python / PySpark / SQL
• AWS / Azure / GCP
• Airflow / Astronomer
• Snowflake / Databricks / Spark / Microsoft Fabric / BigQuery
• Data Modeling, Metadata & Data Quality
• CI/CD, Git & Infrastructure as Code
• Data & AI Governance
• RBAC, Security, Privacy & Compliance
• Semantic Layer & AI Cost Management
• Agentic AI, MCP, APIs & AI Integration
• Observability, Monitoring & Troubleshooting

 KEY RESPONSIBILITIES

• Build and operate scalable Data & AI platforms
• Develop batch, streaming and AI-enabled pipelines
• Enable semantic models, AI agents, MCP integrations and reusable services
• Automate infrastructure using IaC, CI/CD and DevOps
• Drive platform upgrades, migrations and performance optimization
• Implement security, governance, compliance and audit controls
• Enable secure self-service through data products and RBAC
• Monitor platform health, SLAs and operational performance
• Optimize cloud and AI usage costs
• Support incident management, RCA and capacity planning
• Collaborate with Data, AI, Analytics and business teams
• Evaluate and operationalize emerging AI technologies

 GOOD TO HAVE

• Power BI / MicroStrategy
• Retail domain experience


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