Senior Advanced AI Software Engineer

Qualifications

• 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

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.