Senior Advanced AI Software Engineer

Honeywell • Phoenix, AZ

2d • Hybrid

About The Position

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.

Requirements

• 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++).

Nice To Haves

• 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

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.

Benefits

• employer subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior