Lead Software Engineer (AI Platforms & SaaS Solutions)

We are hiring a Lead Software Engineer AI Platforms & SaaS Solutions to help build the next generation of Honeywells Life safety platforms. The ideal candidate should bring strong experience in software engineering cloud-native SaaS platforms cloud diagnostics solutions and new product introduction (NPI) along with 2 years of hands-on experience building agentic AI / AI workplace solutions. This leader will help define build and launch scalable AI-enabled platform capabilities that drive intelligent workflows diagnostics and next-generation cloud services for connected life safety products.

You will report directly to our Director Software Engineering and youll work out of our Atlanta GA location on a Hybrid work schedule.

In this role you will impact the business by deriving actionable insights that optimize processes reduce costs and identify growth opportunities positioning Honeywell at the forefront of data-driven innovation.

KEY RESPONSIBILITIES

• Lead the architecture design and implementation of next-generation software capabilities for life safety solutions
• Build and scale AI-enabled platform services intelligent workflows and cloud-native application capabilities that drive customer and business value
• Develop and enhance SaaS platform architecture supporting diagnostics monitoring predictive insights and decision support
• Design and implement agentic AI / AI workplace solutions including intelligent assistants workflow automation recommendations and orchestration services
• Partner closely with product management software engineering UX cloud and business leaders to define requirements technical roadmaps and MVP execution plans
• Drive new product introduction (NPI) efforts from concept through prototyping validation launch and market adoption
• Build highly scalable secure and reliable cloud services using modern software engineering practices
• Develop cloud diagnostics solutions for connected devices systems and enterprise applications
• Establish engineering best practices for software quality observability performance maintainability and operational excellence
• Mentor engineers and provide technical leadership across architecture design reviews and implementation
• Stay current with advances in AI cloud and platform engineering to help shape the long-term innovation strategy for the business

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary leading-edge work and developing solutions side-by-side with dedicated experts in their fields Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical Dental Vision and Life Insurance; Short-Term and Long-Term Disability; 401(k) match Flexible Spending Accounts Health Savings Accounts EAP and Educational Assistance; Parental Leave Paid Time Off (for vacation personal business sick time and parental leave) and 12 Paid Holidays. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date; however this may be shortened or extended depending on business needs and the availability of qualified candidates.

YOU MUST HAVE

• Bachelors degree in Computer Science Software Engineering Data Science Artificial Intelligence or related field
• Significant experience in software engineering cloud platform development or SaaS application development
• At least 2 years of experience developing agentic AI / AI workplace / AI-enabled workflow solutions
• Proven experience delivering successful new product introductions (NPI) to market
• Strong experience building and scaling SaaS platforms
• Experience developing cloud-based diagnostics monitoring or remote service solutions
• Strong programming experience in modern languages such as Python Java C# or similar
• Experience building and deploying solutions on Azure AWS or GCP
• Strong understanding of APIs microservices distributed systems and cloud-native architectures
• Demonstrated ability to work across cross-functional teams and convert complex business problems into scalable technical solutions

WE VALUE

• Masters degree in a relevant technical discipline
• Experience with AI/ML LLMs generative AI copilots RAG or agent-based systems
• Experience building enterprise-grade platforms with strong focus on availability security and performance
• Strong understanding of data pipelines MLOps observability model integration and production AI operations
• Experience in predictive analytics anomaly detection diagnostics IoT or digital twin environments
• Experience with containers Kubernetes CI/CD pipelines and DevSecOps practices
• Experience in life safety building automation industrial automation or other mission-critical domains
• Strong product mindset with the ability to link software architecture decisions to customer value and commercial outcomes
• Strong communication and technical leadership skills

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency productivity sustainability and safety in high growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age race creed color national origin ancestry marital status affectional or sexual orientation gender identity or expression disability nationality sex religion or veteran status. Learn more about inclusion and diversity :click here