Gen AI Solutions Architect

Total of 10 years, with at least 3 years of experience in GenAI and 7-8 years in AI, preferably within the Pharma sector. Responsibilities: Implement AI/Gen AI solutions in production environments, not just proof of concepts (POCs). Build GenAI POCs and demonstrate advanced expertise in GenAI. Reason through agentic systems and possess a solid command of Agentic AI systems. Execute Python-level tasks with strong technical proficiency in Python. Qualifications: Proven experience as a hands-on Senior Data Scientist or Gen AI Architect. Ability to articulate and differentiate various aspects of GenAI thinking. Strong background in developing and implementing AI solutions in a production setting.