- Santriya Technologies is seeking an AI-Enabled Environmental, Health & Safety Engineer to strengthen workplace safety and environmental performance using AI-assisted trend analysis, inspections and knowledge retrieval, with all safety decisions governed by approved standards and competent human judgement.

- 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:

- Maintain risk assessments, legal registers, permits, inspections, emergency plans and EHS procedures.

- Use AI analytics to detect incident trends, unsafe-condition patterns and leading indicators from verified records.

- Conduct site inspections, audits and task observations; never substitute AI analysis for physical verification.

- Lead incident investigation, root-cause analysis and corrective/preventive action tracking.

- Support contractor safety, LOTO, work-at-height,



fire, material handling and warehouse/plant safety controls.

- Monitor waste, emissions, energy or environmental obligations relevant to the site.

- Train teams using current product/equipment manuals and approved safety content.

- Escalate critical risks immediately and preserve stop-work authority.

- 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:
- Recordable incidents and repeat findings reduce

- Corrective actions close on time

- Leading safety indicators improve
- Regulatory and audit readiness remains robust

📌 AI-Enabled Environmental, Health & Safety Engineer (Chennai)
🏢 Santriya Technologies
📍 Chennai