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Cognizant Technology Solutions Corporation in Atlanta seeks an AI-First Engineer Solutions Lead Architect with SCM expertise to lead an AI platform and transform how Supply Chain applications are designed, built, tested, deployed and supported through AI-enabled engineering practices.
The ideal candidate consistently leverages AI to improve productivity, code quality and delivery outcomes across the full SDLC, from requirements through deployment and operations.
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
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
SkillExpertise Level
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
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