Lead Software AI Engineer

Qualifications

• 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 (https://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

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.

Preferred Qualifications

• 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.