Job Summary 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 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 Analyse 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 Required Skills 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 Required Relevant Microsoft Azure AI DevOps or solution architecture certifications
Job description provided by Cognizant Technology Solutions.
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