Senior Generative AI Engineer — Lead Scalable AI Solutions

Honeywell Aerospace

Phoenix (AZ)

Hybrid

USD 150,000 - 190,000

Full time

48 hours ago
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Benefits offered by this job

Medical, dental, vision insurance
Disability coverage
401(k) match
Educational assistance
Parental leave
Paid holidays
Paid time off

Job summary

Honeywell Aerospace is seeking a Sr Advanced AI Engineer to drive expert-level AI design and development at our Phoenix facility, operating on a hybrid schedule. You will lead AI initiatives, mentor engineers, and collaborate with product teams to deliver scalable AI solutions that align with business goals.

This senior role requires a strong track record in machine learning, multi-agent systems, and cloud AI platforms, with a focus on robust, scalable architecture and continuous innovation.

Qualifications

  • Bachelor's degree in a technical discipline; 6+ years leading AI projects.
  • Proficiency in Python, TensorFlow, PyTorch; strong ML expertise.
  • Experience with Azure AI, AWS Bedrock and Kubernetes; agile environment.

Responsibilities

  • Lead the development of complex AI solutions addressing business needs.
  • Collaborate with cross-functional teams to integrate AI into existing systems.
  • Partner with product managers to align AI initiatives with business goals.
  • Oversee end-to-end AI development lifecycle including planning and monitoring.
  • Mentor AI engineers and foster a culture of learning and technical excellence.

Skills

Python
TensorFlow
PyTorch
Agentic AI
Multi-Agent Systems
LLMOps
Cloud AI Platforms
Leadership

Education

Bachelor's degree in a technical field
Advanced degree in CS/AI

Tools

Azure AI
AWS Bedrock
Kubernetes

Job description

Honeywell Aerospace is seeking a Sr Advanced AI Engineer to drive expert-level AI design and development at our Phoenix facility, operating on a hybrid schedule. You will lead AI initiatives, mentor engineers, and collaborate with product teams to deliver scalable AI solutions that align with business goals.

This senior role requires a strong track record in machine learning, multi-agent systems, and cloud AI platforms, with a focus on robust, scalable architecture and continuous innovation.

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