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.

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.

KEY RESPONSIBILITIES

• 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.