Gen AI Architect

Job description

• Define and own AI/ML architecture for enterprise-scale solutions aligned with business objectives • Design end-to-end solutions involving machine learning, deep learning, generative AI, NLP, and computer vision • Collaborate with business stakeholders to translate requirements into AI-driven architectures and roadmaps • Lead model lifecycle management including training, validation, deployment, monitoring, and retraining (MLOps) • Provide architectural governance, best practices, and standards for AI implementations • Guide development teams on algorithms, frameworks, model selection, and performance optimization • Ensure AI solutions comply with security, privacy, ethics, and regulatory requirements • Evaluate and recommend AI tools, platforms, and emerging technologies • Mentor data scientists, ML engineers, and architects