AI Solution Architect

Who are we?For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out https://youtu.be/uJWBWQZEA6o.Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.Job Summary: We are seeking an experienced AI/GenAI Solution Architect with expertise in Google Cloud Platform (GCP) to design and implement innovative AI solutions. The ideal candidate will 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 and develop 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.