Sr AI Architect

Senior AI Architect

As a Senior IT Architect here at Honeywell, you will be at the forefront of shaping our technology landscape, optimizing its efficiency, and driving innovation. Your leadership and mentorship will empower your team to excel, fostering their professional growth and development. By overseeing high-level IT architecture strategies and ensuring alignment with business objectives, you will have an impact on our organization's ability to adapt, scale, and thrive in an ever-evolving technological landscape.

As a Senior IT Architect here at Honeywell, you will be at the forefront of shaping our technology landscape, optimizing its efficiency, and driving innovation. Your leadership and mentorship will empower your team to excel, fostering their professional growth and development. By overseeing high-level IT architecture strategies and ensuring alignment with business objectives, you will have an impact on our organization's ability to adapt, scale, and thrive in an ever-evolving technological landscape.

You will report directly to our Director of AI and you’ll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule.

• Responsible for developing and maintaining enterprise wide AI architecture across classic ML, GenAI, and agentic AI systems.
• Drive the strategic direction for agentic AI architecture, including multi agent frameworks, tool use orchestration, reasoning pipelines, memory systems, and governance models for autonomous and semi-autonomous AI capabilities.
• Collaborate closely with cross-functional partners—including Data Science, MLOps, Cloud Engineering, Security, and Business Units—to define and execute high level AI architecture strategies aligned with enterprise objectives.
• Shape the planning and implementation of AI platforms and solutions that ensure scalability, reliability, security, safety, and responsible AI compliance across all AI modalities.
• Establish architectural standards, reference architectures, and best practices for classic ML platforms, LLM/GenAI systems, and agentic AI ecosystems.
• Evaluate emerging AI technologies, frameworks, vector databases, orchestration layers, and agent frameworks to guide innovation and long term platform evolution.
• Provide architectural oversight for AI solution design, ensuring alignment with enterprise cloud architecture (AWS preferred), data strategy, and regulatory requirements.
• Partner with leadership to prioritize AI initiatives, influence technology roadmaps, and ensure seamless integration of AI systems into core business processes.

• 6 or more years of experience in AI technology or AI architecture.
• Demonstrated experience architecting solutions for machine learning, LLM/GenAI platforms, or intelligent automation systems.
• Proven leadership skills with the ability to inspire and mentor architects, engineers, and planners supporting enterprise AI initiatives.
• Strong background in project leadership, steering large-scale or complex AI architecture programs from conception to implementation.
• Deep understanding of cloud-native architecture (preferably AWS), security frameworks, data platforms, and modern AI/ML deployment patterns.
• Experience with architectural frameworks (e.g., TOGAF, FEAF) and enterprise technology strategy development.

• Bachelor’s degree in Computer Science, IT, Engineering, or related field (Master’s preferred but optional).
• Experience with AI architecture tools, modeling tools, or enterprise architecture platforms.
• Background in driving digital transformation or AI modernization initiatives across multiple business domains.
• Ability to build and maintain strong relationships with data science, engineering, security, and executive stakeholders.
• Strategic mindset and an ability to translate business objectives into actionable AI platform and architecture strategies.
• Experience with agentic AI frameworks, vector databases, orchestration layers, or autonomous workflow systems.
• Passion for innovation and navigating the rapid evolution of AI technologies while maintaining enterprise stability and governance.

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