- Santriya Technologies is seeking an AI-Enabled Electrical Maintenance Engineer to maintain electrical distribution, drives, motors, panels and automation interfaces with AI-supported diagnostics, energy analytics and controlled maintenance practices.

- 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:

- Execute preventive and corrective maintenance for LV/MV systems, panels, motors, VFDs, UPS, chargers and facility electrical assets.

- Use trend and anomaly analytics to identify overheating, overload, harmonics, abnormal current or emerging failure indicators.

- Verify AI findings using approved test equipment, schematics, OEM data and engineering limits.

- Troubleshoot breakdowns while following LOTO, permit and electrical safety procedures.

- Maintain CMMS work orders, test results, spares, fault codes and change records.





- Coordinate with automation, mechanical, facilities and OEM teams on integrated equipment faults.

- Support energy efficiency and power quality improvement using measured data.

- Ensure protection settings, interlocks and safety circuits are changed only through authorized engineering control.

- 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:

- Electrical availability improves
- Repeat electrical faults and energy losses reduce

- Predictive interventions increase
- Safety and test records remain audit-ready

📌 AI-Enabled Electrical Maintenance Engineer (Chennai)
🏢 Santriya Technologies
📍 Chennai