Advanced GenAI Engineer

Honeywell Aerospace•Phoenix, AZ

4d•Hybrid

About The Position

As an Advanced AI Engr here at Honeywell Aerospace, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the subject matter expert for technical AI projects and provide direction on exploring and implementing methodologies and best practices. In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Let's shape the future together! You will work out of our Phoenix, AZ location on a Hybrid work schedule. NO relocation offered.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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.