Critical Manufacturing MES developer
Cognizant
Chennai, Tamil Nadu, India3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- AzureREST APIsAuditingStakeholder managementPythonSQL
- Work
- On-site in Chennai
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management27%REST APIs25%Azure15%Auditing9%of 99 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
We are seeking an AI Automation Engineer to design and deliver AI enabled and rule based automation solutions for manufacturing and MES processes. The role will focus on improving master data quality, reducing manual effort, and enabling secure, traceable automation across Critical Manufacturing MES environments.
Key Responsibilities
- Develop AI agents, workflow automations, data processing solutions, system integrations, and Azure DevOps pipelines.
- Automate master data synchronization, validation, gap analysis, hotfix creation, bulk data processing, and facility environment setup.
- Analyze historical Azure DevOps data to identify recurring issues and recommend preventive actions.
- Integrate solutions with MES platforms, databases, APIs, and enterprise AI services.
- Implement approval workflows, monitoring, logging, exception handling, retries, rollback, and audit controls.
- Perform testing, deployment, documentation, knowledge transfer, and production support.
- Collaborate with MES teams, architects, security teams, and business stakeholders.
Requirements & Tech Stack
- Strong experience in Python, SQL, REST APIs, automation, and system integration.
- Hands-on experience with AIML, large language models, intelligent agents, prompt engineering, and AI guardrails.
- Experience with Azure AI, Azure OpenAI, and Azure DevOps CICD pipelines.
- Knowledge of Git, automated testing, DevSecOps, monitoring, data security, and responsible AI.
- Strong analytical, communication, and problem-solving skills.
Preferred Skills
- Experience with Critical Manufacturing MES or other manufacturing execution systems.
- Knowledge of manufacturing master data, multi-environment configuration, PLM integration, and site rollouts.
- Familiarity with responsible AI governance and model risk controls.
Certifications
- Relevant Microsoft Azure AI DevOps or solution architecture certifications.