AI Solution Architect

As an experienced AI/GenAI Solution Architect with expertise in Google Cloud Platform (GCP), your role will involve designing and implementing innovative AI solutions. You will be responsible for the following key tasks: - Designing and architecting AI and GenAI solutions on GCP. - Creating comprehensive architecture diagrams for AI solutions. - Developing and deploying machine learning models, ensuring alignment with architectural designs. - Managing and preprocessing large datasets to support training and evaluation of AI models. - Optimizing existing AI solutions for performance and scalability. - Staying updated on the latest AI trends and GCP services. - Providing technical guidance and support to engineering teams. - Engaging in technical discussions and presentations with clients to understand their needs and propose solutions. To qualify for this role, you should meet the following qualifications: - Bachelor's degree in Computer Science, Engineering, or related field. - Proven experience as a Solution Architect in AI/GenAI. - Strong knowledge of GCP services such as Google AI Platform, BigQuery, VertexAI, and Google Cloud Storage. - Proficiency in Python. - Familiarity with Generative AI models like GPT, LLama, DALL-E, and others. - Experience with data technologies including SQL, NoSQL, data lakes, and ETL processes. - Experience with data processing and machine learning frameworks like TensorFlow and PyTorch. - Excellent problem-solving and communication skills. Additionally, preferred skills for this role include: - Certification in Google Cloud Professional Data Engineer or Professional Cloud Architect. - Familiarity with DevOps practices and tools. - Experience with large-scale data processing.,