
AI First Engineer – SCM Planning
Dallas, TXJobSeen 2w agoSeen in employer's feed 1 day ago
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Job overview
The AI First Engineer will apply AI technologies across the software development lifecycle to improve productivity, code quality, testing efficiency, and operational support for supply chain planning applications.
Skills & qualifications
Skills
Full job description
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
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
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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