AI-Enabled Senior / Principal Piping Engineer

Santriya Technologies; Chennai; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Santriya Technologies Ltd. seeks an AI-enabled senior/principal piping engineer to lead piping engineering for complex projects and product/facility environments. You will apply AI-assisted search, review and design intelligence while maintaining accountability for calculations, code compliance and safety.

You will own piping design basis, specifications, material classifications, layouts, tie-ins and related deliverables, ensuring high quality and safety standards across projects.

Responsibilities

• Own piping design basis, specifications and layouts.
• Review P&IDs, 3D models, isometrics and stress analysis for safety and constructability.
• Use approved AI tools to search standards and summarize vendor documents; verify conclusions.
• Resolve clashes and interfaces with process, mechanical, civil, structural, electrical and instrumentation teams.
• Maintain code compliance and project documentation as the source of truth.
• Mentor engineers and develop reusable review checklists.

Skills

Piping design

Review P&IDs

3D modeling review

Stress analysis awareness

Cross-discipline coordination

AI-assisted workflows

Tools

P&ID software

3D modeling tools

AI tool proficiency

Job description

Job Summary

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 expand 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-safe 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