- Santriya Technologies is seeking an AI-Enabled Mechanical Maintenance Engineer to maintain mechanical assets and automated material-handling equipment using condition data, AI-supported diagnostics and disciplined maintenance documentation.

- 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:

- Plan preventive, predictive and corrective maintenance for conveyors, sorters, lifts, pumps, compressors, HVAC or assigned equipment.

- Use approved AI/analytics to detect abnormal vibration, temperature, cycle time or failure patterns and prioritize inspections.

- Validate AI alerts with physical checks, OEM limits and maintenance history before intervention.

- Manage work orders, spares, downtime codes, failure modes and completion evidence in CMMS.

- Lead breakdown troubleshooting,



root-cause analysis and permanent corrective actions.

- Coordinate safe isolation, permits, contractors and return-to-service checks.

- Maintain equipment manuals, maintenance standards, lubrication plans and critical spares lists.

- Track MTBF, MTTR, availability and maintenance cost trends and drive continuous improvement.

- 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:
- Asset uptime and MTBF increase

- Unplanned downtime and repeat failures reduce

- Maintenance plans become more predictive

- Safety and documentation compliance remain robust.

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