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 should have a strong background in cloud technologies and a passion for developing intelligent applications. Key Responsibilities: - Design and architect AI and GenAI solutions on GCP. - Create comprehensive architecture diagrams for AI solutions. - Develop and deploy machine learning models, ensuring alignment with architectural designs. - Manage and preprocess large datasets to support training and evaluation of AI models. - Optimize existing AI solutions for performance and scalability. - Stay updated on the latest AI trends and GCP services. - Provide technical guidance and support to engineering teams. - Engage in technical discussions and presentations with clients to understand their needs and propose solutions. 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 (e.g., Google AI Platform, BigQuery, VertexAI, Google Cloud Storage). - Proficiency in Python. - Familiarity with Generative AI models (e.g., GPT, LLama, DALL-E and others). - Experience with data technologies (e.g., SQL, NoSQL, data lakes, ETL processes). - Experience with data processing and machine learning frameworks (e.g., TensorFlow, PyTorch). - Excellent problem-solving and communication skills. Preferred Skills: - Certification in Google Cloud Professional Data Engineer or Professional Cloud Architect. - Familiarity with DevOps practices and tools. - Experience with large-scale data processing.,