Director, Research & Development

Harris ComputerRemote - Oklahoma, OK

About The Position

This role involves architecting and scaling AI/ML solutions in production, including LLMs, automation, and applied AI. The Director will lead development across multiple initiatives such as AI agents, workflow automation, and data-driven systems. A key aspect of the role is partnering with executive leadership to define priorities and execute strategic objectives. The position also includes building, mentoring, and leading a high-performing AI/engineering team, integrating AI capabilities into existing platforms, systems, and workflows, and driving measurable outcomes like efficiency, accuracy, and revenue impact. Establishing best practices for model deployment, monitoring, and continuous improvement is also a core responsibility. The company, Harris, provides mission-critical software solutions and offers a casual work environment with a comprehensive benefit package and other perks. They emphasize employee empowerment, an award-winning culture, learning opportunities, financial strength, and fun. Harris is an Equal Opportunity/Affirmative Action Employer.

Requirements

  • 8+ years of experience in software development, with deep experience in AI/ML
  • Proven track record of building and deploying AI solutions in real-world environments
  • Strong experience with LLMs, automation frameworks, and applied AI use cases
  • Leadership experience managing and scaling technical teams
  • Ability to translate business needs into technical execution
  • Strong system architecture and integration experience
  • Operator mindset - focused on outcomes, not just models
  • 4+ years of experience in Product Management
  • 3+ years of work experience with Agentic AI Development
  • 8+ years of Software Development experience

Nice To Haves

  • Experience in healthcare, RCM, or complex data environments
  • Familiarity with coding workflows, billing systems, or financial operations
  • Experience working in high-growth or multi-business unit environments

Responsibilities

  • Architect and scale AI/ML solutions in production (LLMs, automation, applied AI)
  • Lead development across multiple initiatives including AI agents, workflow automation, and data-driven systems
  • Partner with executive leadership to define priorities and execute against strategic objectives
  • Build, mentor, and lead a high-performing AI/engineering team
  • Integrate AI capabilities into existing platforms, systems, and workflows
  • Drive measurable outcomes (efficiency, accuracy, revenue impact)
  • Establish best practices for model deployment, monitoring, and continuous improvement

Benefits

  • Comprehensive benefit package
  • Other additional “Perks”
  • Opportunity to learn
  • Casual work environment
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