Field Solutions Architect, GenAI, Google Cloud

Field Solutions Architect, GenAI, Google Cloud

Minimum qualifications:

• Bachelor’s degree in Computer Science, Data Science, or equivalent practical experience.
• 6 years of experience working in AI/ML as a technical sales engineer or in software engineering.
• Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in Generative AI as a user or a developer.
• Experience delivering technical presentations and leading business value sessions in English and Arabic.

Preferred qualifications:

• Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
• Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first‑party and OSS models.