- Santriya Technologies is seeking an AI-Enabled Structural Engineer to deliver structural analysis and design for buildings, facilities and industrial/warehouse environments, using AI to accelerate information retrieval and review while retaining full engineering accountability.

- 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 structural design basis, models, calculations, drawings and specifications for assigned scope.

- Check loads, combinations, stability, connections, foundations and serviceability against applicable codes and project criteria.

- Use approved AI tools for code/document search, revision comparison and review prompts; verify all calculations and interpretations independently.

- Coordinate BIM/model interfaces and resolve clashes with architecture, MEP, equipment and civil teams.





- Review vendor/subcontractor designs, RFIs, changes and site deviations.

- Support inspections, construction queries and as-built validation.

- Maintain design assumptions, calculation records and approval traceability.

- Lead peer reviews for critical or non-standard structures.

- 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:
- Structural deliverables pass review with fewer comments

- Construction RFIs/rework reduce

- Design assumptions remain traceable
- Safety and code compliance are uncompromised

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