AI-Enabled Electrical Draughtsman

• Santriya Technologies is seeking an AI-Enabled Electrical Draughtsman to prepare and maintain accurate electrical drawings and schedules using CAD/BIM and AI-assisted document checks, with strict revision control and engineer approval.
• 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:

• Produce and revise single-line diagrams, layouts, schematics, cable schedules, panel drawings and installation details.
• Translate approved engineering inputs and mark-ups into controlled drawings.
• Use AI/document comparison tools to identify missing tags, inconsistent references or revision changes, then verify findings manually.
• Maintain drawing registers, numbering, title blocks, revision history and issue status.
• Coordinate with electrical engineers, instrumentation, mechanical and site teams to resolve drawing interfaces.
• Follow client CAD/BIM standards, symbols, layering and document-control requirements.
• Support as-built updates from validated site redlines and commissioning records.
• Never allow AI-generated geometry, ratings or installation details to bypass engineering review.
• 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:
• Drawing accuracy and revision discipline improve
• Rework from documentation errors reduces
• Turnaround time for approved changes improves
• As-built records remain complete.