AI First Engineer – SCM Planning

About the role

We are seeking an AI First Engineer with deep 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 role will drive AI‑powered development and modernization initiatives with an SCM background, particularly in planning.

Responsibilities

• AI‑Assisted Requirements & Solution Design – Leverage AI and LLM technologies to analyze business requirements (BRDs, user stories, process flows, 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 upgrade impact assessments; apply AI‑driven knowledge discovery to reduce analysis and design cycle times.
• AI‑Driven Code Generation & Refactoring – Use GitHub Copilot, Agentic AI frameworks, and similar tools to accelerate development across PL/SQL, Java, JavaScript, Groovy, VBCS, OIC, and APEX; implement AI‑assisted code generation, optimization, refactoring, reverse engineering, and legacy modernization; develop 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 & 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; leverage AI tools for defect triage, root cause analysis, and predictive quality insights.
• AI‑Enabled DevOps, Code Review, Documentation Generation & 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; 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 (including GitHub Copilot, ChatGPT, Claude, Agentic AI frameworks, OCI Generative AI).

Requirements

• Ability to quantify and communicate outcomes from AI adoption, including reduced development cycle time, improved code quality, reduced defect rates, reduced testing effort, faster deployment cycles, faster incident resolution, and increased developer productivity.