Senior AI Software Engineer, LLMs & MLOps

Honeywell International, Inc.; Phoenix (AZ); Ibrido; USD 140.000 - 200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) match

Descrizione del lavoro

Honeywell seeks a Sr. Advanced AI Software Engineer to lead strategic vision and roadmap, designing and deploying AI/ML systems at scale from Phoenix. You will report to the Director of Engineering and work in a hybrid model, onsite initially.

The role emphasizes performance, reliability, and quality across software products to support scalable growth, with leadership in design reviews, mentorship, and AI strategy influence.

Competenze

• 5+ years of hands-on AI/ML in production environments.
• 5+ years Deep expertise in ML fundamentals (supervised, unsupervised, reinforcement learning) and DL architectures (CNNs, RNNs, Transformers).
• 5+ years of hands-on experience with LLMs, generative AI, prompt engineering, fine-tuning, and RAG pipelines; embeddings and semantic search.

Mansioni

• Design, build, and deploy advanced AI/ML systems 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.

Conoscenze

AI/ML production

Deep learning

LLMs & Generative AI

Prompt engineering

Python

Java or C++

Formazione

Bachelor's degree in computer science

Strumenti

Docker

Kubernetes

Azure

AWS

CI/CD for ML

Descrizione del lavoro

Honeywell seeks a Sr. Advanced AI Software Engineer to lead strategic vision and roadmap, designing and deploying AI/ML systems at scale from Phoenix. You will report to the Director of Engineering and work in a hybrid model, onsite initially.

The role emphasizes performance, reliability, and quality across software products to support scalable growth, with leadership in design reviews, mentorship, and AI strategy influence.