Hybrid Senior AI Architect

at Honeywell

• Job title: Senior AI Architect
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud
• Location requirements: Hybrid, Phoenix, United States

About the role

• Senior AI Architect leading AI architecture strategy for Honeywell. Shape scalable AI platforms across ML, GenAI and agentic systems.

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.

Requirements

• 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.

Benefits

• In addition to a competitive salary
• employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays