Job description

As a Lead Software AI Engineer here at Honeywell, you will lead project teams of software engineers to design, develop, and deliver cutting-edge software solutions. You will be responsible for driving technical excellence, ensuring project success, and contributing to the overall growth of the software engineering team. Elevate your career at Honeywell as a Lead Software AI Engineer, driving innovation on global projects. Join a collaborative culture and let’s shape the future of technology together! 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. KEY RESPONSIBILITIES • 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. YOU MUST HAVE • 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. WE VALUE • 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. BENEFITS OF WORKING FOR HONEYWELL In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (benefits.honeywell.com) The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: October 16, 2026. ABOUT HONEYWELL TECHNOLOGIES Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. Learn more ( honeywell.com ) THE BUSINESS UNIT Honeywell Technologies Process Technology helps customers improve energy efficiency, sustainability, and operational performance through advanced process technologies and industry expertise. From process licensing and catalysts to digital solutions and engineering services, we support innovation across energy, refining, petrochemicals, and emerging low-carbon industries. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more (honeywell.com) Fantastic career opportunity as a Lead Software AI Engineer in Phoenix, AZ, Process Automation, Engineering

Requirements

Must-haves

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.
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.

Nice-to-haves

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.

Application prep

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Keywords to mirror

aimlllmpythonazureawsdockerkubernetesci/cd

Platform: oracle-cloud
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off

Parental Leave