Job Summary
We are seeking an AI First Engineer with deep SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AI enabled engineering practices
Responsibilities
We are seeking an AIFirst Engineer with deep SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AIenabled engineering practices
The ideal candidate is not simply a developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code quality testing efficiency operational support and overall software delivery outcomes
The role will drive AIpowered development and modernization initiatives with an SCM background particularly in planning
Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption including reduced development cycle times improved code quality lower testing effort accelerated deployments and faster issue resolution
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Key Responsibilities
AIFueled Software Engineering Across the SDLC
Apply AIenabled engineering practices throughout all phases of the software lifecycle
1 AIAssisted Requirements Solution Design
Leverage AI and LLM technologies to analyze business requirements BRDs user stories process flows and SCM functional specifications
Generate technical designs impact assessments traceability matrices solution alternatives and effort estimates using AIassisted workflows
Utilize AI to accelerate fitgap analysis and quarterly upgrade impact assessments
Apply AIdriven knowledge discovery to reduce analysis and design cycle times
2 AIdriven code generation and refactoring
Use GitHub Copilot Agentic AI frameworks and similar tools to accelerate development across PLSQL Java JavaScript Groovy VBCS OIC and APEX
Implement AIassisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives
Develop SCM customizations integrations extensions reports and automation solutions using AIenabled development practices
Apply AI to automate integration mappings API creation report generation and technical documentation
3 AIassisted testing test automation and regression strategies
Build AIpowered testing strategies covering functional integration regression performance and user acceptance testing
Utilize AI for automated test case generation test data creation defect identification and test maintenance
Implement AIenhanced regression testing frameworks
Leverage AI tools for defect triage root cause analysis and predictive quality insights
4 AIenabled DevOps code review documentation generation and operational support
Integrate AIassisted code reviews security analysis static code scanning and quality gates into CICD pipelines
Utilize AI to generate deployment documentation release notes implementation guides and operational runbooks
Support AIdriven deployment automation and environment management practices
5 Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AIassisted developer workflows
GitHub Copilot
ChatGPT
Claude
Agentic AI frameworks
OCI Generative AI
Business Impact Measurement
Ability to quantify and communicate outcomes from AI adoption including
o Development cycle time reduction
o Improved code quality
o Reduced defect rates
o Reduced testing effort
o Faster deployment cycles
o Faster incident resolution
o Increased developer productivity
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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