Join Honeywell’s elite team as an Advanced AI Engineer. This 2025 role is for experienced professionals (8+ years) ready to lead groundbreaking projects in AI and machine learning for industrial automation, offering a competitive package and a chance to make a significant impact.

Job Title: Advanced AI Engineer

Location: India

Job Type: Full Time

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About the job

Job Description

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.

Responsibilities

Key Responsibilities Advanced AI Engineer

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

Qualifications

YOU MUST HAVE

Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
5+ 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, TensorFlow, and PyTorch
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

About Us

Advanced AI Engineer Honeywell helps organizations solve the world’s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

How to Apply:

Please submit your resume and cover letter through Submit Resume to apply for this position.

Apply Here

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FAQ 1: What are the key responsibilities for an Advanced AI Engineer at Honeywell?

Answer: Key responsibilities include leading the design and development of cutting-edge AI and machine learning models, deploying scalable AI solutions into Honeywell’s product ecosystem (like building management, industrial safety, and supply chain systems), collaborating with cross-functional teams, and mentoring junior engineers to push the boundaries of industrial AI.

FAQ 2: What qualifications and experience is Honeywell looking for in this role?

Answer: Honeywell typically seeks candidates with a Master’s or PhD in Computer Science, AI, or a related field, plus 8+ years of hands-on experience in AI/ML. Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP) is essential. Experience with MLOps, data pipelines, and a proven track record of deploying models in a production environment is highly valued.

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7-Figure Impact: Lead Advanced AI Engineer (8+ YOE) at Honeywell

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