A. J. Johnson

About A. J. Johnson

Technology and Engineering Executive (M.S, B.A.) with extensive experience leading the development of enterprise software platforms and medium-scale engineering organizations. Proven track record building and scaling teams that deliver cloud-native systems, AI/ML platforms, and data-driven products used in highly regulated and enterprise environments.Deep expertise in AI/ML, Generative AI, and MLOps, including the design of platforms that support model development, training, deployment, and monitoring at scale. Experienced in enabling LLM-powered applications, retrieval-augmented systems, and agentic development workflows that accelerate software delivery and intelligent automation.Strong background in distributed systems, cloud infrastructure, DevOps, and open-source technologies, with a focus on building secure, scalable platforms that support enterprise workloads and modern data science workflows.Known for building high-performing global teams and aligning engineering execution with business strategy. Effective at driving complex initiatives across product, engineering, and customer-facing organizations while maintaining strong relationships with enterprise customers and strategic partners.Recognized as a pragmatic technical leader who brings clarity to complex problems, makes decisive decisions, and delivers durable platforms that enable innovation

Experience

1. Senior Vice President of Engineering

   Domino Data Lab

   Jul 2024 — Present

Education

• University of Vermont

  BA, Environmental Studies

  1992 — 1996

• Oregon Health & Science University

  Master of Science - MS, Computer Science: Databases, Operating Systems, Object Oriented Programming

  2001 — 2003

Skills

• Open Source
• Virtualization
• Cloud Computing
• Software Project Management
• Enterprise Software
• Enterprise Architecture
• Saas
• Web Development
• Agile
• Agile Methodologies
• Management
• Linux
• High Availability
• Iaas
• Storage
• Software Development
• Open Source Software
• Integration
• Compilers
• Private Cloud
• Paas
• Hybrid Cloud
• Operating Systems
• Software as a Service (Saas)
• Software Engineering
• IT Strategy
• Unix
• Data Center