Director System Architecture & AI

Honeywell Honeywell · Industrial · Atlanta, GA +1

Director of System Architecture & AI at Honeywell, responsible for leading architectural design of complex software systems, driving technical product management, and incorporating AI technologies into AI-first products. Requires extensive experience in system architecture, hardware/firmware/software development, and AI technologies.

What you'd actually do

  1. Lead and mentor a team of architects and engineers, providing expert guidance in shaping and maintaining our solution architecture behind Honeywell’s distributed architecture.
  2. Drive technical product management initiatives from initiation through execution, ensuring alignment with business objectives and customer needs.
  3. Collaborate closely with cross-functional teams to define and execute high-level architecture strategies and product roadmaps that incorporates AI technologies.
  4. Engage with business teams and customers to gather requirements and feedback, ensuring that solutions meet market demands.
  5. Utilize AI knowledge to develop AI-first products, leveraging the latest AI tech stack and best practices in AI development.

Skills

Required

  • Bachelor's degree in technical discipline
  • 10+ years of experience in architecture and development
  • Expert level knowledge in system architecture principles and integration
  • Strong background in hardware, firmware, and embedded software development
  • Demonstrated technical product management experience
  • Embedded knowledge of AI technologies

Nice to have

  • Master's degree or higher in Computer Science, Engineering, or related field
  • Proven ability to lead successful architecture and product management projects
  • Ability to work in a fast-paced and dynamic environment
  • Passion for innovation and continuous learning

What the JD emphasized

  • AI technologies
  • AI tech stack
  • AI development
  • AI-first products

Other signals

  • Develop AI-first products
  • Leveraging the latest AI tech stack
  • Best practices in AI development