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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
