Chief manager - application

The AI Platform Engineer will be responsible for designing and managing the enterprise AI platform, ensuring it is secure, scalable, resilient, and optimized for high-performance AI workloads. The role will focus on AI infrastructure, cloud services, GPU environments, model serving, vector databases, AI gateways, developer tooling, and integration with enterprise platforms.

Working closely with AI Technical Leads, MLOps Engineers, GenAI Engineers, Data Engineers, Infrastructure, Information Security, and Enterprise Architecture teams, the AI Platform Engineer will establish the foundational technology stack for enterprise AI.

# Key Responsibilities

• Design and implement the Enterprise AI Platform architecture.
• Build reusable AI development environments and self-service capabilities.
• Standardize AI development, deployment, and operational processes.
• Establish platform engineering best practices for AI workloads.
• Define platform scalability, resiliency, and disaster recovery strategies.
• Ensure seamless integration with enterprise technology platforms.
  
  

# Educational Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Cloud Computing, or a related discipline.
  
  

# Experience

• 6-10 years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, or DevOps.
• Minimum 3 years supporting AI/ML platforms or cloud-native AI infrastructure.
• Experience building enterprise platforms for AI or advanced analytics.
• BFSI, NBFC, Banking, Insurance, or FinTech experience preferred.