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# Advanced GenAI Engineer

- **Company:** Honeywell Aerospace
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Design of User Interfaces, Machine Learning, Data Storage Technologies, Generative AI, Indexer
- **Published:** August 10, 2026
- **Apply:** https://www.phoenixjobs.com/job.asp?id=3361170512&tx=HT7266TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics.
 * Minimum 5 years of experience managing AI related technology projects.
 * Mastery expertise in machine learning or related artificially intelligent technology.

WE VALUE

 * Experience with database operations, including data storage, retrieval, and management.
 * Knowledge of embeddings and indexing techniques, including their applications in AI and machine learning.
 * Familiarity with API calling and integration, including designing and implementing APIs for AI applications.
 * Understanding of UI/UX principles and their application in designing intuitive and user-friendly interfaces for AI-powered systems.
 * Experience with KPI collection and dashboard creation, including designing and implementing metrics to measure AI system performance and creating visualizations to communicate insights.

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

## Description

* Work with AI engineers, product managers, and aerospace experts to understand requirements and develop AI applications that meet business needs.
 * Perform research activities to identify state-of-the-art AI models and infrastructure tools for on-premises deployment, staying up-to-date with industry trends and advancements.
 * Ideate and develop Retrieval Augmented Generation (RAG) solutions for internal applications, leveraging the power of retrieval and generation techniques to drive innovation and improvement in AI capabilities.


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