Software Engineer II

As an Engineer II at Honeywell, you will develop, test, and integrate AI/ML capabilities into software applications and products. You will work with experienced AI and software engineers to build reliable, maintainable, and scalable AI-powered solutions. You will collaborate with software, product, data, and platform teams while continuing to develop hands-on expertise in production AI and software engineering.

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.

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.

YOU MUST HAVE

• 2+ years of hands-on AI/ML software engineering experience, including developing and deploying AI/ML solutions in production environments.
• 2+ years of hands-on experience with Large Language Models (LLMs) and Generative AI.
• 2+ years of experience with prompt engineering, pipelines, embeddings, vector databases, and semantic search.
• 2+ years of programming/software engineering experience using Python, with demonstrated ability to develop clean, maintainable, production-quality software.
• 3+ years of software engineering/programming experience, with strong proficiency in Python and experience with at least one additional programming language such as C++ or Java.

WE VALUE

• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
• Experience with commonly used AI/ML frameworks and libraries & Experience with Azure and/or Gemini cloud platforms.
• Experience with Docker and Kubernetes & model deployment and CI/CD for ML workflows.
• Knowledge of microservices and distributed systems. Experience with evaluation, monitoring, and observability of production AI applications.
• Knowledge of responsible AI, AI security, cybersecurity, and secure software-development practices.
• Experience or exposure to multi-agent systems and autonomous AI agents with deep-learning concepts and architectures, including Transformers.
• Strong analytical, communication, and problem-solving skills.
• Experience working with cross-functional teams to deliver production software solutions.

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: October 14, 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.

Key Responsibilities

• Build applications and software components using Large Language Models (LLMs) and Generative AI.
• Develop and enhance prompt workflows, pipelines, embeddings, vector search, and semantic-search capabilities
• Develop Python-based AI/ML applications, APIs, services, and supporting software components.
• Integrate AI models and services with existing software applications.
• Assist with model evaluation, testing, performance measurement, and optimization.
• Participate in deployment, monitoring, and maintenance of AI/ML solutions.
• Collaborate with product, data, software, and platform teams to deliver business-aligned AI solutions.
• Participate in architecture, technical design, and code reviews.
• Troubleshoot complex AI/ML and software issues and perform root-cause analysis.
• Ensure AI solutions meet software quality, reliability, security, scalability, and maintainability expectations.

Key Responsibilities

• Build applications and software components using Large Language Models (LLMs) and Generative AI.
• Develop and enhance prompt workflows, pipelines, embeddings, vector search, and semantic-search capabilities
• Develop Python-based AI/ML applications, APIs, services, and supporting software components.
• Integrate AI models and services with existing software applications.
• Assist with model evaluation, testing, performance measurement, and optimization.
• Participate in deployment, monitoring, and maintenance of AI/ML solutions.
• Collaborate with product, data, software, and platform teams to deliver business-aligned AI solutions.
• Participate in architecture, technical design, and code reviews.
• Troubleshoot complex AI/ML and software issues and perform root-cause analysis.
• Ensure AI solutions meet software quality, reliability, security, scalability, and maintainability expectations.