AI-First Engineer Lead SCM- AI-Fueled SDLC & Modernization Location: Atlanta GA (Required)
Hybrid
Experience Required: 4 Years or more
Job Summary
We are seeking an AI-First Engineer Solutions Lead/Architect with SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle (SDLC). This role is focused on leading an AI platform and transforming how Supply Chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.
The ideal candidate is not simply a 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.
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 Skills
Skill | Expertise Level |
AI Led SDLC (Supply Chain Systems Oracle ERP) | Expert |
Communication | Expert |
Thought Leader | Expert |
Key Responsibilities
Our primary focus is on identifying AI architects who can leverage AI across the entire SDLC, rather than traditional Oracle SCM developers who have only limited exposure to AI tools.
In addition to Oracle SCM functional and technical expertise, we would like candidates to demonstrate hands-on experience with:
- AI-assisted requirements analysis and design
- AI-driven code generation and refactoring
- AI-assisted testing, test automation, and regression strategies
- AI-enabled DevOps, code review, documentation generation, and operational support
- Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows is especially valuable.
Candidates should be able to quantify business outcomes achieved through AI adoption, such as reduced development cycle time, improved code quality, lower testing effort, or faster issue resolution.
While testing is an important component, our need is broader than a dedicated testing profile. We are looking for engineers who can apply AI throughout the full software development lifecycle, from requirements through deployment and support.
I would also recommend adding experience with AI-fueled engineering frameworks and software modernization initiatives, as we are actively transforming how Supply Chain applications are designed, developed, tested, and supported using AI-enabled workflows. This aligns closely with our Supply Chain AIFC strategy and broader AI transformation goals.
