As an Advanced AI Engineer here at Honeywell, 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!At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

YOU MUST HAVE:

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• 3+ years of experience managing AI related technology projects
• Mastery expertise in machine learning or related artificially intelligent technology

WE VALUE

• Advanced degrees in Electrical Engineering (EE), Mechanical Engineering (ME), or related fields
• Proficiency in programming languages such as Python, Tensor Flow, and Py Torch
• Strong leadership and management skills
• Experience working in an agile development environment
• Proven ability to drive successful cloud development projects and initiatives
• Ability to work in a fast-paced and dynamic environment
• Attention to detail and excellent problem-solving capability

Key Responsibilities:

• Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness
• Collaborate with crossfunctional teams to integrate AI solutions seamlessly into existing systems and processes
• Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives
• Lead the endtoend AI development lifecycle, including project planning, resource allocation, and monitoring progress
• Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation, and technical excellence