Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience.
8 years of experience shipping production-grade AI-driven solutions to external or internal customers.
Experience building full-stack solutions that interface with enterprise systems.
Experience in Python.
Experience architecting AI systems on cloud platforms.
Experience leading technical discovery sessions with executive stakeholders (C‑suite) and engineering teams to define AI and hardware infrastructure requirements.
Preferred qualifications:
Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or the company’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.