Field Solutions Architect, Generative AI, Cloud

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 3 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
• Experience architecting Artificial Intelligence (AI) systems on cloud platforms (GCP).

Preferred qualifications:

• Master's or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI...