- 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.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

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 protected 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

📌 AI Warehouse Automation Supervisor (Chennai)
🏢 Santriya Technologies
📍 Chennai