The AI Architect designs and oversees the end-to-end architecture of complex Artificial Intelligence and Machine Learning solutions, bridging high-level business requirements with scalable, reliable, and secure AI systems.

• Architectural Blueprint: Design the complete technical stack for AI solutions, including data acquisition, processing pipelines, model training environments, and deployment/inference services.
• Technology Evaluation: Evaluate and select appropriate AI/ML frameworks, cloud services (AWS SageMaker, Azure ML, GCP Vertex AI), and infrastructure components to meet performance needs.
• MLOps Strategy: Define MLOps practices, including continuous integration and continuous delivery (CI/CD) for models, monitoring model drift, and ensuring reproducibility.
• Security and Governance: Ensure all AI systems adhere to security protocols, data privacy regulations, and ethical AI guidelines.
• Team Leade...