Solution Architect, Sovereign AI

Candidates must have a Master's degree in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or another engineering field, or equivalent experience. A minimum of 5 years of experience in technical consulting, software development, or a similar role is required. Proficiency in Python, PyTorch, and container technologies is essential, along with hands-on experience in Generative AI, including fine-tuning large language models or deploying GenAI-based solutions. The ability to clearly communicate ideas and code through various platforms like blog posts, kernels, and GitHub is necessary. Experience working with multiple levels and teams across different organizations (engineering/research, product, sales, and marketing) is expected, as are strong verbal and written communication and technical presentation skills. A self-starter attitude with a vision for growth, a passion for continuous learning, and a willingness to share findings are also key requirements. Additional desirable qualifications include advanced degrees (MBA, PhD), prior consulting experience, government or AI startup work, digital twin experience, development experience with NVIDIA software libraries and GPUs, and proficiency in additional languages such as Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic.