AI First Engineer – Oracle SCM Applications Suite

Lorven Technologies Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Lorven Technologies Inc. in Atlanta seeks an AI-First Engineer with deep Oracle SCM expertise to transform how supply chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.

This role emphasizes AI-driven development across Oracle SCM Cloud and Oracle EBS, delivering measurable business outcomes such as faster cycles, higher code quality, and smoother deployments.

Qualifications

• AI-enabled engineering practices across the entire SDLC.
• Deep Oracle SCM Cloud and/or Oracle EBS experience.
• Ability to quantify business outcomes from AI adoption.

Responsibilities

• Apply AI-driven methods to requirements, design, and testing.
• Lead AI-powered code generation, refactoring, and modernization.
• Drive AI-enabled DevOps, documentation, and operational support.

Skills

AI in SDLC

Oracle SCM Cloud

Oracle EBS

Code generation

Tools

GitHub Copilot

Oracle Code Assist

Agentic AI frameworks

Job description

AI First Engineer - Oracle SCM Applications Suite

Top Skills:

• 1. GitHub Copilot, Oracle Code Assist, Agentic AI frameworks
• 3. Strong hands-on experience with Oracle SCM Cloud and/or Oracle EBS applications

Job 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 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:

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

• 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 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.