AI-First Oracle SCM Planning Engineer

Our Client, an IT Services and Consultant company, is looking for an AI-First Oracle SCM Engineer for their Dallas, TX/Atlanta, GA location.
 
Responsibilities:

• AI-Fueled Software Engineering Across the SDLC
• Apply AI-enabled engineering practices throughout all phases of the software lifecycle:
• AI-Assisted Requirements & Solution Design
• Leverage AI and LLM technologies 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 accelerate fit-gap analysis and quarterly Oracle Cloud upgrade impact assessments.
• Apply AI-driven knowledge discovery reduce analysis and design cycle times.
• AI-driven code generation and refactoring
• Use GitHub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools accelerate development across PL/SQL, 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 automate integration mappings, API creation, report generation, and technical documentation.
• AI-assisted 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 support Oracle Cloud quarterly releases.
• Leverage AI tools for defect triage, root cause analysis, and predictive quality insights.
• AI-enabled DevOps, code review, documentation generation, and operational support
• Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates int CI/CD pipelines.
• Utilize AI generate deployment documentation, release notes, implementation guides, and operational runbooks.
• Apply AI-powered monitoring and analytics assess Oracle quarterly release readiness and business impact.
• Support AI-driven deployment automation and environment management practices.

• Experience 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
• Business Impact & Measurement
• Ability 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
• Top Skills:
• GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
• Years of Experience:  
• 12.00 Years of Experience

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities