Job Title:  Associate Director | AI Data Center Infrastructure | Delhi | Engineering | Hybrid Cloud Engineering

Associate Vice President | Engineering, AI & Data – Engineering | AI Data Center Infrastructure

Location:  Delhi

The team

Engineering helps empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data

Your work profile

The AI Data Center Infrastructure Engineer is responsible for the operational management, monitoring, maintenance, reliability, and optimization of AI-ready data center infrastructure supporting high-density GPU, HPC, and AI workloads. The role ensures continuous availability of power, cooling, networking, rack infrastructure, and facility systems while maintaining operational excellence, compliance, and service-level commitments.

The engineer works closely with facility operations, IT infrastructure, cloud, network, AI platform, and vendor teams to ensure stable and efficient operation of mission-critical AI infrastructure.

Infrastructure Operations

• Monitor and operate critical data center infrastructure including electrical, mechanical, and IT support systems.
• Ensure availability and reliability of power, cooling, network, and server room environments.
• Manage day-to-day operational activities across AI infrastructure facilities.
• Support continuous operations in a 24x7 mission-critical environment.

AI Infrastructure Support

• Support AI clusters, GPU servers, HPC systems, and storage platforms.
• Monitor GPU utilization, thermal performance, power consumption, and environmental conditions.
• Coordinate with AI engineering teams during deployment, upgrade, and operational activities.
• Support infrastructure readiness for AI workload scaling and expansion.

Power Systems Management

• Operate and monitor: Utility power systems, Switchgear, Transformers, UPS systems, Battery systems, PDUs, Standby generators
• Ensure power redundancy and resilience are maintained.
• Participate in maintenance and testing activities.

Cooling Systems Operations

• Monitor and operate cooling infrastructure including: Chillers, CRAH/CRAC units, In-row cooling systems, Rear-door heat exchangers, Liquid cooling systems
• Environmental monitoring platforms, Support high-density AI rack cooling requirements. Optimize thermal management and cooling efficiency.

Monitoring and Incident Management

• Monitor alarms through DCIM, BMS, EMS, and infrastructure monitoring tools.
• Respond to infrastructure incidents and service disruptions.
• Perform troubleshooting and root cause analysis (RCA).
• Coordinate incident response and recovery activities.

Capacity and Performance Management

• Monitor capacity utilization for: Power, Cooling, Rack space, Network connectivity
• Develop forecasts and operational reports.
• Identify infrastructure bottlenecks and growth requirements.

Reliability and Maintenance

• Execute preventive, predictive, and corrective maintenance programs.
• Develop and maintain operational procedures and runbooks.
• Review maintenance activities to minimize operational risks.
• Support reliability improvement initiatives.

Change Management

• Review infrastructure changes and maintenance requests.
• Develop and execute: MOP (Method of Procedure), SOP (Standard Operating Procedure), EOP (Emergency Operating Procedure)
• Conduct risk assessments for planned activities.

Compliance and Governance

• Maintain compliance with industry standards and internal policies.
• Support audits and operational assessments.
• Ensure adherence to: ISO 27001, TIA-942, Uptime Institute standards, Local regulatory requirements, Safety standards

Automation and Continuous Improvement

• Leverage automation tools for operational efficiency.
• Utilize predictive analytics and AI-driven monitoring platforms.
• Implement operational improvements to enhance reliability and efficiency.
• Drive initiatives to optimize PUE and sustainability metrics.

Key skills required:

• Education : Any Bachelor’s or Master’s degree.
• Equivalent experience in mission-critical data center environments may be considered.
• 10+ years of experience in data center operations, mission-critical facilities, or infrastructure operations.
• Experience supporting AI, HPC, hyperscale, or cloud data center environments preferred.
• Experience with high-density rack deployments and GPU infrastructure is highly desirable.
• Technical skills

Data Center Infrastructure

• Critical Facilities Operations, Electrical Power Systems
• Mechanical Cooling Systems, Rack and Cabling Infrastructure, Environmental Monitoring

AI Data Center Technologies

• GPU Infrastructure, AI and HPC Platforms, High-Density Compute Environments
• Liquid Cooling Technologies, High-Speed Network Fabrics

Monitoring Platforms

• DCIM, BMS, EMS, SCADA, Infrastructure Monitoring Tools

Operations Management

• Incident Management, Problem Management, Change Management, Capacity Planning, Root Cause Analysis

Automation

• PowerShell, Python, Infrastructure Automation Tools, Monitoring Analytics Platforms

Good to have certification:

• Uptime Institute Accredited Tier Specialist (ATS)
• Certified Data Center Professional (CDCP)
• Certified Data Center Specialist (CDCS)
• Schneider Electric Data Center Certifications
• Cisco CCNA/CCNP
• Microsoft Azure Administrator
• ITIL Foundation
• PMP or PRINCE2 (Preferred)