Lead Software Engineer (AI Platforms & SaaS Solutions)

Honeywell•Atlanta, GA

3d•Hybrid

About The Position

We are hiring a Lead Software Engineer – AI Platforms & SaaS Solutions to help build the next generation of Honeywell’s 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 you’ll 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.

Requirements

Bachelor’s 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

Nice To Haves

Master’s 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

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

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.

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