AI First Engineer with Oracle SCM Experience

THOUGHT BYTE

Atlanta (GA)

On-site

USD 120,000 - 160,000

Full time

6 hours ago
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Job summary

THOUGHT BYTE in Atlanta, GA, seeks an AI-First Engineer with deep Oracle SCM experience to transform how supply chain applications are designed, built, tested, and maintained through AI-enabled engineering practices. This long-term contract role centers on AI-driven modernization across Oracle SCM Cloud and Oracle EBS.

You will apply AI to requirements, solution design, code generation, testing, DevOps, and deployment, delivering measurable business outcomes such as faster cycles, improved

Qualifications

  • AI-first engineer with deep Oracle SCM expertise.
  • Experience applying AI across the SDLC, from requirements to deployment.
  • Ability to quantify outcomes from AI adoption.

Responsibilities

  • Lead AI-enabled software engineering across the SDLC.
  • Apply AI-assisted requirements, design, and estimation using AI workflows.
  • Drive AI-powered development for Oracle SCM Cloud and EBS.
  • Implement AI-driven testing, CI/CD, and deployment automation.

Skills

Oracle SCM
AI in SDLC
AI tooling
Prompt engineering
Code reviews

Tools

Oracle SCM Cloud
Oracle EBS
GitHub Copilot
Agentic AI frameworks
OCI Generative AI

Job description

Role: AI First Engineer with Oracle SCM Experience
Location: Atlanta, GA.
Duration: Long-Term Contract
Job Description:
AI-First Engineer – Oracle SCM Applications Suite (AI-Fueled SDLC & Modernization)

AI-first engineer who leverages AI across the entire software development lifecycle -- AI throughout the full software development lifecycle, from requirements through deployment and support.

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.
  • Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows
  • Oracle Code Assist
  • ChatGPT
  • 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:
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