- Santriya Technologies is seeking an AI-Enabled Instrumentation Engineer to design, maintain and optimize instrumentation and control systems using AI-assisted diagnostics and documentation intelligence, while preserving deterministic engineering, cybersecurity and functional-safety controls.

- 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:

- Develop/review instrument index, datasheets, I/O, loop diagrams, control narratives, cause-and-effect and hook-up documentation.

- Select and specify instruments, analyzers, control valves and interfaces based on process requirements and approved standards.

- Use AI analytics to identify anomalous trends, calibration drift or likely failure patterns from validated operational data.

- Support PLC/DCS/SIS configuration, testing, commissioning and troubleshooting within authorized change control.

- Coordinate with process, electrical,



mechanical, maintenance and vendor teams.

- Maintain calibration, proof-test and maintenance strategies using risk and criticality.

- Ensure AI recommendations never override interlocks, trips or safety-instrumented functions without formal engineering approval.

- Document root causes, changes, lessons and reusable troubleshooting knowledge.

- 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:
- Instrument availability and reliability improve

- Nuisance trips and repeat faults reduce

- Documentation/calibration compliance remains high

- Diagnostics lead to earlier, safer interventions

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