Lead Software Architect – Ai/ml & Cloud Platforms

Honeywell Honeywell · Industrial · Atlanta, GA +1

Lead Software Architect for AI/ML & Cloud Platforms at Honeywell, focusing on hands-on software development, AI/ML systems, and scalable architecture. The role involves defining technical direction, designing and prototyping solutions, and collaborating with data scientists and engineers on ML pipelines and production-grade AI/ML systems. Key responsibilities include software architecture, AI/ML engineering, cloud platform design, and technical leadership.

What you'd actually do

  1. Lead the design and development of modern software architectures for cloud and distributed platforms using Python, C#, .NET, React, and microservices frameworks
  2. Remain hands-on in code, building prototypes, validating designs, and guiding implementation decisions
  3. Partner with engineering teams to define scalable, maintainable, and high-performance architectures
  4. Architect and contribute to AI/ML solutions used in product features and platform capabilities
  5. Collaborate with data scientists and engineers to design end-to-end ML pipelines, including data ingestion, feature engineering, training, evaluation, deployment, and monitoring

Skills

Required

  • 10+ years of experience in software engineering, software architecture, or related technical roles
  • Strong hands-on coding experience in one or more of the following: Python, C#, .NET, React
  • Proven experience designing and building distributed, cloud-based systems
  • Practical experience working with or alongside AI/ML engineers or data scientists
  • Demonstrated ability to lead technically, influence architecture decisions, and work across teams

Nice to have

  • Experience as an AI/ML engineer, data engineer, or data scientist
  • Experience building or supporting ML pipelines in production
  • Cloud platform experience (Azure, GCP, AWS)
  • Familiarity with containerized and microservice-based architectures
  • Exposure to cybersecurity concepts or secure system design
  • Prior experience acting as a senior technical advisor or architect
  • Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or related field

What the JD emphasized

  • hands-on software development
  • hands-on coding
  • hands-on technical leadership role
  • hands-on coding experience
  • Lead technically

Other signals

  • architect and contribute to AI/ML solutions
  • design and prototype high-impact solutions
  • architect and contribute to AI/ML solutions used in product features and platform capabilities
  • design end-to-end ML pipelines, including data ingestion, feature engineering, training, evaluation, deployment, and monitoring