GenAI Architect

Job Description

Description We are seeking an experienced GenAI Architect to lead the design and implementation of generative AI solutions. The ideal candidate will have a strong background in AI/ML architecture, extensive experience with generative models, and a passion for innovation in the field of artificial intelligence. Responsibilities Design and develop advanced generative AI architectures and models that meet business needs. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Conduct research on the latest generative AI technologies and methodologies. Lead the implementation of AI-driven projects from conception to deployment. Optimize AI models for performance, scalability, and cost-effectiveness. Provide technical guidance and mentorship to junior team members. Skills and Qualifications Master's or Ph.D. degree in Computer Science, Data Science, or related field. 10-15 years of experience in AI/ML architectures and frameworks. Strong programming skills in Python, Java, or similar languages. Experience with generative AI frameworks such as GPT, BERT, or DALL-E. Proficiency in machine learning libraries like TensorFlow, PyTorch, or Keras. Deep understanding of data structures, algorithms, and software design principles. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving skills and ability to work in a team-oriented environment.