AI First Engineer – Oracle SCM Suite

AI First Engineer – Oracle SCM Applications Suite

Our client, an IT Services and Consultant company, is looking for an AI First Engineer – Oracle SCM Applications Suite for their Atlanta, GA/ Dallas TX 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 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.
• AI-driven code generation and refactoring
• Use Git Hub Copilot, Oracle Code Assist, Agentic AI frameworks, and similar tools to 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 to 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 to support Oracle Cloud quarterly releases.
• Leverage AI tools for defect triage, root cause analysis, and predictive quality insights.
• AI-enabled Dev Ops, code review, documentation generation, and operational support
• Integrate AI-assisted code reviews, security analysis, static code scanning, and quality gates into CI/CD 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.

Requirements:

• Experience with Git Hub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
• Git Hub Copilot
• Oracle Code Assist
• ChatGPT
• Claude
• Agentic AI frameworks
• OCI Generative AI
• Oracle SCM & Technical Expertise
• Strong hands-on 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
• Top
  
  Skills:
• Git Hub Copilot, Oracle Code Assist, Agentic AI frameworks
• PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX
• Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications
• Years of
  
  Experience:
  
  12.00 Years of Experience

Why Should You Apply?

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