AI Architect

Role Overview

The AI Architect will lead the comprehensive design and management of complex Artificial Intelligence and Machine Learning systems. This position serves as the critical link between high-level organizational goals and the technical execution of scalable, dependable, and secure AI solutions.

Key Responsibilities

• Develop a complete technical framework for AI solutions covering data collection, processing workflows, model training setups, and deployment/inference mechanisms.
• Assess and choose suitable AI and ML platforms, including cloud services such as AWS SageMaker, Azure ML, and GCP Vertex AI, ensuring they align with performance requirements.
• Establish MLOps protocols encompassing continuous integration and delivery for model deployment, monitor model performance drift, and uphold reproducibility standards.
• Guarantee all AI implementations comply with security standards, data privacy laws, and ethical AI practices.
• Lead, mentor, and support Data Scientists and ML Engineers in architectural decision-making, performance optimization, and adherence to best coding standards.

Qualifications and Experience

• Master’s degree or Ph.D. in Computer Science, Data Science, or a closely related field is favored.
• Over 8 years of experience in software development or data engineering, including a minimum of 3 years in an ML or AI Architect capacity.
• Comprehensive expertise in at least one major cloud AI platform (AWS, Azure, or Google Cloud Platform) along with relevant services.
• Proficient with machine learning models, deep learning frameworks such as TensorFlow and PyTorch, and in deployment techniques for AI models.