Overview
Senior engineers who want to move into architecture roles will learn to design multi-model platforms, define AI governance frameworks, architect for cost efficiency, build internal developer tooling for AI, lead model evaluation programs, and communicate AI tradeoffs to business stakeholders. This is the most senior individual-contributor path in the AI space.
Prerequisites
✓3+ years engineering experience
✓Cloud infrastructure
✓System design
✓LLM API experience
Skills you'll develop
AI ArchitectExpert
Design enterprise-grade AI infrastructure
20 weeks · 4,800 XP
AI EngineerIntermediate
Build production AI systems end-to-end
12 weeks · 2,400 XP
AI Security EngineerAdvanced
Secure AI systems against adversarial threats
16 weeks · 3,400 XP
MLOps EngineerAdvanced
Automate ML lifecycle at production scale
14 weeks · 3,000 XP
Learning paths
Capstone projects
Project 01
Enterprise AI platform design doc
Project 02
Model router with cost optimization
Project 03
AI governance policy framework