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Updated twice daily · Oct 15, 2026
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Senior Advanced AI Software Engineer

Honeywell AerospacePhoenix, AZ

This position is responsible for shaping the AI engineering roadmap and delivering scalable, dependable, and cost-conscious solutions for Honeywell’s automation business. The engineer will build end-to-end ML systems, optimize and assess models, establish monitoring, and manage training and deployment workflows through MLOps practices. They will partner with cross-functional teams and guide software engineers through architecture reviews, mentoring, and implementation decisions. The work is suited to an experienced AI/ML practitioner who has deployed systems at scale and understands modern generative AI techniques as well as core software engineering. The role is based in Phoenix, Arizona, with hybrid work after an initial 90-day period requiring full-time onsite attendance.

Requirements

5+ years delivering production AI/ML systems at scaleDeep knowledge of machine learning and deep learning architecturesExperience with LLMs, generative AI, prompt engineering, fine-tuning, and RAGProficiency in Python plus Java or C++8+ years of software engineering experienceCloud, Docker/Kubernetes, and ML CI/CD experience
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Listed October 9, 2026 · Verify details with the employer before applying.

About Honeywell Aerospace

Phoenix-headquartered aerospace unit (7,000+ AZ employees) running an Advanced Air Mobility Lab developing autonomous eVTOL/UAS flight tech and an AI innovation hub with ASU.

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