AI First Engineer – Oracle SCM Applications Suite

Apply AI-enabled engineering practices throughout all phases of the software lifecycle:

1. 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.

2. AI-driven code generation and refactoring

· Use GitHub 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.

3. 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.

4. AI-enabled DevOps, 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.

5. 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

6. Oracle SCM & Technical Expertise

· Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications