Job Summary

We are seeking a highly skilled Generative AI Architect to join our dynamic team and drive the development of advanced AI systems that have capabilities to learn, reason and make decisions autonomously.

Key Responsibilities

AI Systems Architecture:

• Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval.
• Ensure the system's scalability, flexibility, and efficiency to handle large algorithms.

Algorithm Development:

• Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks.
• Continuously evaluate and improve these algorithms to enhance system performance and accuracy.

Data Integration:

• Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation.

Collaborate with data scientists and engineers to ensure the quality and relevance of data for AI model training

Skill Requirements

• A bachelor's or master's degree or equivalent in computer science, Artificial Intelligence, or related field.
• Experience with large language models (LLMs) and prompt engineering.
• Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras.
• Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques.
• Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions.
• Strong communication and collaboration skills to work effectively in multidisciplinary teams.

Other Requirements