Shipped GenAI solutions in production (not only POCs) Applied frameworks of use for GenAI with clear tradeoffs Strong code sense (Python or TypeScript) Solid grasp of evaluation and setting business-relevant targets Customer-facing communication skills Bachelor’s degree in computer science engineering, or related field 6+ years' professional experience in AI, ML, and emerging technologies 3+ years of experience as a technical architect or system/software architect 3+ years of experience hosting and deploying ML solutions Proven experience in architecting, designing, and implementing enterprise-level AI-driven solutions Hands-on expertise with AI and ML frameworks, Azure/AWS AI Stack, LLama, JavaScript, React, and REST APIs Demonstrated experience in driving system architecture development across cross-functional teams Familiarity with leading Generative AI models Excellent problem-solving abilities Exceptional communication skills Experience in responsible AI practices High proficiency in technical writing, presentations, and product demonstrations Strong working knowledge of deep learning, machine learning and statistics AI/ML Expertise Demonstrated with AI/ML technologies (python, LLMs, jupyter notebooks, algorithms, data structures) Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable