AI-Enabled Production Supervisor / Operator

Santriya Technologies; Chennai; On-site; INR 400,000 - 680,000; Full time

Job summary

Santriya Technologies Ltd in Chennai seeks an AI-enabled production supervisor to lead production activities, monitor AI-assisted instructions, and ensure safety, quality and throughput.

You will work with AI/MES alerts, verify materials and parameters, and coach operators while upholding safety and process controls. This role requires hands-on leadership in a fast-paced manufacturing environment.

Qualifications

• Experience with production supervision or operator roles.
• Awareness of AI-assisted manufacturing workflows.

Responsibilities

• Execute daily production plan, line clearance, setup, changeover and process checks per approved instructions.
• Use AI/MES alerts to identify abnormal cycle time, yield, quality or equipment patterns and investigate before adjustment.
• Verify materials, tooling, parameters and product version before production.
• Record output, downtime, scrap, rework and process deviations accurately.
• Coordinate maintenance, quality and engineering support for faults and non-conformances.
• Enforce safety, housekeeping, permit and lockout requirements.
• Coach operators on standard work and elevate unauthorized changes.
• Participate in root-cause and continuous-improvement activities.

Job description

Santriya Technologies is seeking an AI-enabled production supervisor / operator to operate or supervise production/process activities using AI-supported monitoring and work instructions to improve throughput and quality without bypassing safety, process or quality controls.

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 elevate conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Execute daily production plan, line clearance, setup, changeover and process checks per approved instructions.
• Use AI/MES alerts to identify abnormal cycle time, yield, quality or equipment patterns and investigate before adjustment.
• Verify materials, tooling, parameters and product version before production.
• Record output, downtime, scrap, rework and process deviations accurately.
• Coordinate maintenance, quality and engineering support for faults and non-conformances.
• Enforce safety, housekeeping, permit and lockout requirements.
• Coach operators on standard work and elevate unauthorized changes.
• Participate in root-cause and continuous-improvement activities.

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

• Schedule attainment and right-first-time improve
• Scrap/rework and downtime reduce
• Process deviations are contained quickly
• Shift records and traceability remain complete