Sr. 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 youll 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.

• 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. Experience working in cross-functional fast-paced environments
• Core AI / Machine Learning
• Deep expertise in: Machine learning fundamentals (supervised unsupervised reinforcement learning). Deep learning architectures (CNNs RNNs Transformers)
• Hands-on experience with:Large Language Models (LLMs) and generative AI Prompt engineering fine-tuning and RAG pipelines. Embeddings vector databases and semantic search.
• Programming & Software Engineering: Strong proficiency in Python (primary AI development language) Experience with at least one additional language (Java C).
• Solid understanding of: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

WE VALUE

• Bachelors degree in Computer Science AI ML Data Science or a related field
• Masters degree (PhD is a Plus) in Computer Science AI ML Data Science or a related field
• Multi-agent systems and autonomous agents
• Edge AI or model compression/quantization
• AI safety research and explainability techniques
• Knowledge of: SQL and NoSQL databases
• Familiarity with vector databases
• Publications patents or open-source contributions in AI/ML

US PERSON REQUIREMENT

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.

ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency productivity sustainability and safety in high-growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe.

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. Posting date: 4/28/2026