AI Manager

Job Description

We are seeking a dynamic and experienced Software Engineering Manager with a strong background in AI/ML technologies and deep understanding of the industrial domain. This role will lead a cross-functional engineering team focused on building intelligent, scalable, and reliable solutions for industrial applications such as predictive maintenance, process optimization, and smart automation.

Responsibilities

• Team Leadership & Development
• Lead, mentor, and grow a team of software engineers and data scientists.
• Foster a culture of innovation, ownership, and continuous improvement.
• Drive agile development practices and ensure timely delivery of high-quality solutions.
• AI/ML Strategy & Execution
• Architect and oversee the development of AI/ML models tailored to industrial use cases.
• Collaborate with product managers and domain experts to define technical requirements and translate them into scalable solutions.
• Ensure robust model deployment and lifecycle management, including MLOps best practices.
• Industrial Systems Integration
• Design and implement software that interfaces with industrial systems (e.g., SCADA, PLCs, MES).
• Address real-world constraints such as latency, reliability, and safety in industrial environments.
• Work closely with hardware and field engineering teams to ensure seamless integration.
• Cross-functional Collaboration
• Partner with UX, QA, and DevOps teams to deliver end-to-end solutions.
• Communicate technical decisions and trade-offs effectively to stakeholders and senior leadership.
  
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
• 8+ years of experience in software engineering, with at least 3 years in a leadership role.
• Strong programming skills in Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience in deploying AI models in production, preferably in edge or embedded environments.
• Solid understanding of industrial protocols (e.g., Modbus, OPC UA) and control systems.
  
  

Qualifications

Preferred Qualifications

• PhD or advanced degree in AI/ML or Industrial Engineering.
• Experience with cloud platforms (Azure, AWS) and MLOps tools.
• Familiarity with safety standards and compliance in industrial settings.
• Experience in manufacturing, energy, automotive, or similar sectors.
  
  

What We Offer

• Opportunity to work on cutting-edge AI solutions in real-world industrial environments.
• A collaborative and inclusive culture that values innovation and impact.
• Competitive compensation and benefits.
• Career growth in a fast-paced, high-visibility leadership role.
  
  

About Us

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.