Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
• Experience in machine learning and in developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
• Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
• Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
• Ability to perform deep ‘discovery’ interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.