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# Lead Software AI Engineer

- **Company:** Honeywell International Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Software Safety, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Kubernetes, Information Technology, Machine Learning Operations, Docker, Network Optimization, Microservices
- **Published:** October 18, 2026
- **Apply:** https://www.phoenixjobs.com/job.asp?id=3462153142&tx=UT5046TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's Degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics.
 * 6+ years of production AI/ML experience designing, deploying, and operating production-grade systems with ownership of model lifecycle, reliability, and performance in real-world environments.
 * 6+ years Mastery of ML, deep learning, LLMs, generative AI, and RAG with the ability to evaluate, select, and operationalize state-of-the-art techniques for industrial use cases.
 * 6+ years Strong Python proficiency with hands-on experience building distributed systems, APIs, microservices, and scalable data/ML pipelines.
 * 6+ years Cloud-native deployment experience using Azure or AWS, including Docker/Kubernetes and CI/CD workflows tailored for ML/LLM systems.
 * Ability to influence architecture decisions, define reference patterns, and ensure AI systems meet standards for scalability, cybersecurity, and long-term maintainability.
 * 6+ years Cross-functional leadership experience collaborating with engineering, data science, product, and field teams to translate business needs into actionable AI/ML solutions., * Master's degree (PhD preferred) in Computer Science, AI/ML, Data Science, Electrical Engineering, or a related field, demonstrating strong foundational depth in intelligent systems.
 * Experience with industrial automation, control systems, or OT networking.
 * Knowledge of Honeywell Control Transformers, Network/FTE architectures, or similar industrial product lines.
 * Hands-on work with multi-agent systems, autonomous agents, or edge AI, including orchestrating distributed intelligence across constrained or mission-critical environments.
 * Experience with AI safety, governance, and explainability, ensuring models meet enterprise standards for transparency, robustness, and responsible deployment.
 * Publications, patents, or open-source contributions in AI/ML that demonstrate thought leadership, innovation, and engagement with the broader technical community.

U.S. PERSON REQIUREMENT

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

## Description

You will report directly to our Director of Engineering, and you'll work out of our Phoenix, AZ location on a hybrid work schedule.

Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F.

In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth., * AI-Driven Product Innovation

 * Identify and deliver AI/ML opportunities (predictive maintenance, diagnostics, network optimization, forecasting, LLM-based assistance).
 * Lead the engineering team to build scalable AI/ML systems for industrial environments.
 * Develop and protect IP for AI models, control algorithms, and network optimization.
 * Architecture Governance & Technical Alignment
 * Participate in Architecture Council meetings to align product and architecture decisions.
 * Provide input on reference architecture and technology choices.
 * Ensure AI features meet cybersecurity, scalability, and architectural standards.
 * Cross-Functional Leadership
 * Collaborate across engineering, data science, architecture, commercial, and field teams.
 * Communicate product decisions and priorities across LSS/PA leadership team and other Honeywell groups.
 * Drive innovative, high-quality, cost-effective technical solutions.
 * Lifecycle Management & Installed Base Modernization
 * Lead modernization and drive the Control Transformer and Network/FTE products roadmap.
 * Improve reliability, reduce downtime, and optimize network performance.
 * Ensure long-term maintainability, cybersecurity, and scalability.
 * Leadership & Team Development
 * Mentor teams and foster a culture of ownership and innovation.
 * Support talent development and team engagement.
 * Champion diversity, inclusion, and high performance.