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Location
Remote (India)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 4, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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

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