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AI Led SDLC Consultant

CognizantAtlanta, GA

Job Summary

e are seeking an AIFirst Engineer Solutions LeadArchitect with SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on leading an AI platform and transforming how Supply Chain applications are designed developed tested deployed and supported through AIenabled engineering practices

Responsibilities

We are seeking an AIFirst Engineer Solutions LeadArchitect with SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on leading an AI platform and 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

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 Skills

SkillExpertise Level

AI Led SDLC Supply Chain Systems Oracle ERPExpert

CommunicationExpert

Thought LeaderExpert

Key Responsibilities

Our primary focus is on identifying AI architects who can leverage AI across the entire SDLC rather than traditional Oracle SCM developers who have only limited exposure to AI tools

In addition to Oracle SCM functional and technical expertise we would like candidates to demonstrate handson experience with

AIassisted requirements analysis and design

AIdriven code generation and refactoring

AIassisted testing test automation and regression strategies

AIenabled DevOps code review documentation generation and operational support

Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AIassisted developer workflows is especially valuable

Candidates should be able to quantify business outcomes achieved through AI adoption such as reduced development cycle time improved code quality lower testing effort or faster issue resolution

While testing is an important component our need is broader than a dedicated testing profile We are looking for engineers who can apply AI throughout the full software development lifecycle from requirements through deployment and support

I would also recommend adding experience with AIfueled engineering frameworks and software modernization initiatives as we are actively transforming how Supply Chain applications are designed developed tested and supported using AIenabled workflows This aligns closely with our Supply Chain AIFC strategy and broader AI transformation goals

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