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Home › Jobs › SAP MM › AI-Enabled Design Engineer
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AI-Enabled Design Engineer

Santriya Technologies
Chennai
Experience0-2 years
Salary Not disclosed
LocationChennai
Job TypeFull time
Skills: Procurement
Job Description
Job Title: AI-Enabled Design Engineer Company: Santriya Technologies Job Category: SAP MM Roles & Responsibilities: Job Summary Santriya Technologies is seeking an AI\-Enabled Design Engineer to develop safe, manufacturable and maintainable designs using approved AI/generative design tools for option generation and review, with calculations and engineering approval remaining human\-accountable. Key Responsibilities * Convert requirements and product/facility constraints into concepts, calculations, drawings, BOMs and specifications. * Use AI/generative tools to explore alternatives, summarize constraints and flag potential issues, then validate using engineering methods. * Perform design reviews, tolerance/interface checks, DFMEA and design\-for\-manufacture/assembly/maintenance assessments. * Manage technical queries, design changes and revision\-controlled documentation. * Coordinate with procurement, manufacturing, construction, quality and maintenance teams. * Evaluate vendor data and component selections against approved requirements. * Support prototype/site validation and capture lessons into standards. * Protect proprietary drawings and technical data by using only approved AI environments. 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. Work Location: Chennai, India Availability: Full time
Requirements
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. 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. Success Measures * Design cycle time improves without quality loss * First\-pass design approval improves * Change/rework rates decline * Design knowledge becomes reusable and controlled Key Skills: Procurement Salary: Not disclosed
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