AI Architect

Required Education (Precise)
• Bachelor’s degree in Computer Science, Software Engineering, or related field (minimum)
o Master’s + 3 years
o Bachelor’s + 5+ years
o Associate’s + 9 years
• Internships not accepted as experience

Preferred Education 
• Master’s degree in Computer Science or Software Engineering (preferred)

Preferred Certification
• TOGAF certification (nice-to-have)

Required Skills 
• Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools)
• Java/Spring Boot
• Python
• Distributed systems
• APIs and integration services
• Cloud-native platforms
• Software architecture and engineering best practices
• Prompt engineering
• Agentic development workflows
• Engineering metrics and productivity measurement
• Infrastructure and cloud
• Docker, containers, Kubernetes
• IT security, server/storage
• Security standards
• DevOps

Technical – Desired
• Specification-driven development
• Robotics, Physical AI, Simulation, or Digital Twin
• AWS or Azure
• Developer experience platforms


Disqualifiers (Red Flags)
• No hands-on backend development
• Limited API, integration, or distributed systems experience
• Front-end only experience
• No Agile/Scrum experience
• Cannot contribute to cloud-native service development or troubleshooting