AI Warehouse Automation Supervisor

Santriya Technologies; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Santriya Technologies Ltd. seeks an AI Warehouse Automation Supervisor to own shift-level performance of warehouse automation, robotics and control-system interfaces, using AI diagnostics and operational data to maximize safe uptime.

The role centers on monitoring automation assets, interpreting AI-driven alerts, and coordinating safe recovery and improvements across automation systems. You will work with runbooks, track KPIs for throughput and availability, ensure staff readiness for manual

Responsibilities

• Monitor robots, conveyors, sorters, scanners, WCS/WMS interfaces and automated cells.
• Use AI/diagnostic alerts to identify degradation, queue buildup and likely faults, confirming physical/system evidence.
• Coordinate safe recovery, maintenance and technology support according to runbooks.
• Manage throughput, availability, fault, jam and recovery KPIs.
• Ensure manual fallback procedures are ready and staff are trained.
• Support preventive/predictive maintenance and controlled software/configuration changes.
• Investigate chronic faults and process interactions with engineering teams.
• Maintain incident, downtime and change documentation.

Job description

Job Summary

Santriya Technologies is seeking an AI Warehouse Automation Supervisor to own shift-level performance of warehouse automation, robotics and control-system interfaces, using AI diagnostics and operational data to maximize safe uptime.

Key Responsibilities

• Monitor robots, conveyors, sorters, scanners, WCS/WMS interfaces and automated cells.
• Use AI/diagnostic alerts to identify degradation, queue buildup and likely faults, confirming physical/system evidence.
• Coordinate safe recovery, maintenance and technology support according to runbooks.
• Manage throughput, availability, fault, jam and recovery KPIs.
• Ensure manual fallback procedures are ready and staff are trained.
• Support preventive/predictive maintenance and controlled software/configuration changes.
• Investigate chronic faults and process interactions with engineering teams.
• Maintain incident, downtime and change documentation.

AI-enabled ways of working

• Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.
• Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.
• Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.
• Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

Human accountability

AI is a copilot, not the accountable decision-maker. The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation. Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

Success Measures

• Automation availability and throughput improve
• Mean recovery time reduces
• Safety and fallback readiness remain strong
• Chronic faults are eliminated rather than repeatedly reset