Senior Advanced AI Software Engineer

Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! 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.

You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.

KEY RESPONSIBILITIES 

• Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
• Architect scalable, reliable, and cost-efficient AI solutions for production environments.
• Lead model optimization, evaluation, monitoring, and continuous improvement.
• Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
• Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
• Provide technical leadership through design reviews, mentorship, and AI strategy influence.
    

YOU MUST HAVE

• 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. 
• 5+ years of Deep expertise in:  Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
• 5+ years of Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
• 8+ years of Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
   

WE VALUE

• Bachelor’s degree in computer science
• Solid understanding of: Core AI / Machine Learning, Data structures, algorithms, and distributed systems, API design, microservices, and backend integration
• Ability to write clean, maintainable, production-quality code, AI & ML Frameworks. 
• Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows
  
   

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 Posted: September 09, 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.

THE BUSINESS UNIT 

Honeywell Technologies Process Automation helps customers run complex industrial operations more safely, efficiently, and reliably. From automation and control systems to cybersecurity, digital solutions, and operational optimization, we enable critical industries to improve performance, reduce risk, and achieve their sustainability objectives.