Senior Advanced AI Software Engineer

Honeywell INC.; Phoenix (AZ); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Job summary

Honeywell seeks a Sr. Advanced AI Software Engineer to lead the strategic vision, roadmap, and delivery of AI-driven software products. You will report to the Director of Engineering and operate from Phoenix, AZ on a hybrid schedule, with 100% onsite for the first 90 days.

You will architect scalable AI solutions, drive ML model optimization, and champion MLOps practices across the lifecycle, collaborating with product, data, and platform teams to achieve business goals.

Qualifications

• 5+ years of hands-on AI/ML experience in production environments.
• 5+ years of deep expertise in ML fundamentals and DL architectures.
• 8+ years in software engineering with Python and another language.

Responsibilities

• Design, build, and deploy advanced AI/ML systems end to end.
• Architect scalable, reliable AI solutions for production.
• Lead model optimization, evaluation, monitoring, and improvement.
• Drive MLOps for training, deployment, CI/CD, and lifecycle.
• Collaborate with product, data, and platform teams on AI outcomes.
• Provide technical leadership through design reviews and mentorship.

Skills

AI/ML in production

Deep learning (CNNs/RNNs/Transformers)

LLMs & Generative AI

Python

Java/C++

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Azure/AWS

CI/CD

Job description

Job Description

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.

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.

Qualifications

• 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.

About Us

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.