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
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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