AI Leader

PROCESSBARRON MASTERPelham, AL
Hybrid

About The Position

ProcessBarron is seeking an experienced AI Leader to lead the development of our next generation of AI-powered business applications. This is a highly technical, hands-on role responsible for designing, developing, and implementing AI solutions that improve business processes across the organization. Reporting directly to the Vice President of Technology, the AI Leader will work closely with business users, consultants, software vendors, and technology partners to transform business ideas into scalable software solutions. The AI Leader is expected to remain actively involved in software development, solution architecture, system integration, and AI implementation while serving as the company's technical leader for AI initiatives. The successful candidate will lead by building. At ProcessBarron, technology is a competitive advantage. We are investing in artificial intelligence, automation, and modern software development to improve the way our employees work and the value we deliver to our customers. Our focus is practical AI—not research projects. We are building intelligent business applications that solve real business problems across engineering, manufacturing, field services, sales, customer service, and corporate operations.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent experience.
  • 5+ years of professional software development experience.
  • Enterprise application development and support.
  • API and integration experience.
  • Working directly with business users.
  • Production software support.
  • C#
  • .NET
  • Python
  • JavaScript / TypeScript
  • SQL
  • Git
  • REST APIs
  • Software Architecture
  • Application Security
  • OpenAI
  • Azure OpenAI
  • Microsoft Copilot
  • Anthropic Claude
  • Google Gemini
  • AI Agents
  • Prompt Engineering
  • RAG
  • MCP
  • Vector Databases
  • Semantic Search
  • Lead by building and delivering solutions.
  • Strong software engineering fundamentals.
  • Validate AI-generated code.
  • Understand architecture, scalability, security, and maintainability.
  • Communicate with executives, consultants, developers, and business users.
  • Continuously learn as AI evolves.

Nice To Haves

  • AI software development experience preferred.
  • Microsoft Power Platform
  • Azure AI Services
  • SharePoint Development
  • Salesforce Development
  • Epicor Kinetic
  • Workflow Automation
  • Cloud-native Development

Responsibilities

  • Partner with the Vice President of Technology to help shape and execute ProcessBarron's AI roadmap.
  • Identify high-value AI opportunities that support company growth, operational excellence, and customer experience.
  • Evaluate emerging AI technologies, platforms, and industry trends.
  • Help establish AI development standards, governance, and best practices.
  • Design, develop, and deploy AI-powered business applications.
  • Build AI assistants, workflows, automation solutions, and knowledge management tools.
  • Develop AI agents and RAG solutions.
  • Prototype new ideas and iterate based on feedback.
  • Design, develop, test, and support enterprise software applications.
  • Build APIs, integrations, and custom applications.
  • Maintain existing internally developed software.
  • Write clean, maintainable production-quality code.
  • Use AI development tools while validating all generated code.
  • Improve engineering, project management, manufacturing, supply chain, field service, customer service, reporting, and automation through AI.
  • Collaborate with engineering teams on AI for design, diagnostics, simulation, predictive analytics, and customer solutions.
  • Integrate with Epicor Kinetic, Microsoft 365, SharePoint, Salesforce, SQL Server, Azure, and other enterprise platforms.
  • Work with consultants and vendors.
  • Ensure security, governance, and data quality.
  • Meet with end users, gather requirements, demonstrate solutions, provide training, and build relationships.
  • Promote responsible AI adoption, education, and continuous improvement.
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