Oracle Applications Manager Jobs in Georgia (NOW HIRING)

ob Summary
We are seeking an AI First Engineer with deep Oracle 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. The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code
Responsibilities
We are seeking an AI First Engineer with deep Oracle 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
The ideal candidate is not simply an Oracle SCM 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 AI powered development and modernization initiatives across Oracle SCM Cloud and or Oracle EBS applications
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
AI Fueled Software Engineering Across the SDLC
Apply AI enabled engineering practices throughout all phases of the software lifecycle
1AIAssisted 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 AI assisted workflows
Utilize AI to accelerate fit gap analysis and quarterly Oracle Cloud upgrade impact assessments
Apply AI driven knowledge discovery to reduce analysis and design cycle times
2AIdriven code generation and refactoring
Use GitHub Copilot Oracle Code Assist Agentic AI frameworks and similar tools to accelerate development across PLSQL Java JavaScript Groovy VBCS OIC and APEX
Implement AI assisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives
Develop Oracle SCM customizations integrations extensions reports and automation solutions using AI enabled development practices
Apply AI to automate integration mappings API creation report generation and technical documentation
3AIassisted testing test automation and regression strategies
Build AI powered 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 AI enhanced regression testing frameworks to support Oracle Cloud quarterly releases
Leverage AI tools for defect triage root cause analysis and predictive quality insights
4AIenabled DevOps code review documentation generation and operational support
Integrate AI assisted 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
Apply AI powered monitoring and analytics to assess Oracle quarterly release readiness and business impact
Support AI driven deployment automation and environment management practices
5Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AI assisted developer workflows
GitHub Copilot
Oracle Code Assist
ChatGPT
Claude
Agentic AI frameworks
OCI Generative AI
6Oracle SCM Technical Expertise
Strong handson experience with Oracle SCM Cloud and or Oracle EBS applications
Business Impact Measurement
Ability to quantify and communicate outcomes from AI adoption including
Development cycle time reduction
Improved code quality
Reduced defect rates
Reduced testing effort
Faster deployment cycles
Faster incident resolution
Increased developer productivity
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.