AI Developer

Atlas Roofing Corporation•Atlanta, GA

1d•Hybrid

About The Position

The Atlas AI Developer will be instrumental in designing, developing, and deploying artificial intelligence solutions tailored to sales, manufacturing, financials, logistics, and IT operations. This role requires a solid understanding of artificial intelligence tools and techniques, machine learning, data analysis, and software engineering principles, as well as the ability to communicate and collaborate with cross-functional teams to drive digital transformation and operational efficiency.

Requirements

At least 1 year developing and applying Ai related solutions to solve real-world process challenges in a business environment, preferably multi-site sales and manufacturing, is preferred.
Experience collaborating with leaders at all levels of the organization.
Strong ability to convert business challenges into practical solutions by leveraging AI technology forms such as generative, agentic, predictive, descriptive, diagnostic, prescriptive, etc.
Experience working with AI platforms, advanced language models, machine learning, deep learning, automation systems, scripting, and smart workflow solutions.
Strong familiarity with DevOps, development of Infrastructure as Code (IaC), modern AI development platforms (Codex, Python, Bicep, Claude Code, GitHub, Cursor).
Proficiency in Microsoft CoPilot, CoPilot Studio, Azure Ai Services, Microsoft Fabric, Windows, Linux, MS Office 365, Intune, ServiceNow, and common IT support tools.
Ability to prioritize, focus, and troubleshoot the most important challenges and issues.
Strong and creative problem-solving skills with attention to detail.
Excellent verbal communication, written communication, and interpersonal skills.
Embraces change and will strive to improve our ecosystem with emerging and proven technologies.
Hands-on approach and a self-starter.
Effective time management skills.

Nice To Haves

Certifications related to this role are a plus

Responsibilities

Collaborate with sales, marketing, logistics, and plant management teams across all divisions to define needs, recommend and develop AI-driven solutions related to improvements in sales, sales operations, financials, manufacturing, logistics, IT, etc.
Integrate AI applications with existing systems, including enterprise applications, server infrastructure, digital asset management, and document workflows, ensuring seamless data exchange and high reliability.
Maintain, monitor, and update deployed AI solutions, proactively identifying opportunities for enhancement and troubleshooting issues in collaboration with third-party vendors and internal teams.
Conduct research and stay current on emerging AI technologies, tools, and best practices, recommending innovative approaches for continuous improvement.
Document development processes for AI systems, ensuring clarity and compliance with industry standards.
Provide training and support to end users and stakeholders, providing knowledge and increasing adoption of AI solutions.
Explain technical concepts to non-technical users in a clear and professional manner.