- Santriya Technologies is seeking an AI-Enabled Senior / Principal Piping Engineer to lead piping engineering for complex projects and product/facility environments, using AI-assisted search, review and design intelligence while retaining professional accountability for calculations, code compliance and safety.
- 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:

- Own piping design basis, specifications, material classes, layouts, tie-ins and discipline deliverables.
- Review P&IDs;, 3D models, isometrics, stress analysis, supports and interfaces for safety, maintainability and constructability.
- Use approved AI tools to search standards, compare revisions, summarize vendor documents and identify review candidates; independently verify all engineering conclusions.
- Resolve clashes and cross-discipline interfaces with process, mechanical, civil, structural, electrical and instrumentation teams.




- Control deviations, technical queries, design changes and as-built documentation with traceability.
- Provide technical leadership for vendor evaluation, site issues, commissioning and root-cause investigations.
- Maintain applicable code, client standard and product/facility documentation as the source of truth.
- Mentor engineers and define reusable engineering review checklists and AI-protected workflows.
- 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:
- Design quality and first-pass approval improve
- Safety/code non-conformances reduce
- Technical queries close faster with traceability
- Rework and construction clashes decline

📌 AI-Enabled Senior / Principal Piping Engineer (Chennai)
🏢 Santriya Technologies
📍 Chennai