Generative AI Architect

We are seeking a highly skilled and experienced Generative AI Architect to join our AI/ML Engineering team. The ideal candidate will have a strong background in generative AI technologies and a proven track record of designing and implementing AI solutions that drive business value. This role requires a deep understanding of machine learning algorithms, data modeling, and software architecture, along with the ability to collaborate effectively with cross functional teams.

• Design and develop generative AI models and frameworks that meet business requirements.
• Lead the architecture and implementation of AI solutions, ensuring scalability, reliability, and performance.
• Collaborate with data scientists, engineers, and product managers to define project scope and deliverables.
• Conduct research on emerging generative AI technologies and assess their applicability to our projects.
• Provide technical guidance and mentorship to junior team members.
• Evaluate and recommend tools, technologies, and processes to enhance AI capabilities.
• Document architectural designs, processes, and best practices for generative AI implementations.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Mandatory Skills:

• Extensive experience in generative AI technologies, including but not limited to GANs, VAEs, and transformer models.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Deep understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and their AI/ML services.
• Proven ability to design and implement scalable AI architectures.
• Strong analytical and problem solving skills.

• Experience with natural language processing (NLP) and computer vision applications.
• Familiarity with data engineering and ETL processes.
• Knowledge of DevOps practices and CI/CD pipelines for AI model deployment.
• Experience in working with large datasets and big data technologies.
• Strong communication skills and ability to present complex technical concepts to non technical stakeholders.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10 15 years of experience in AI/ML engineering, with a focus on generative AI.
• Proven experience in leading AI projects from conception to deployment.
• Strong portfolio of successful generative AI implementations.