Architect, Digital, Data & Technology

or PhD with 3+ years of experience in relevant fields (e.G., Computer Science, Engineering). Experience : Proven experience as an Enterprise Architect or Solution Architect focusing on AI / ML and generative AI technologies. Technical Skills : Proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and libraries for deep learning. Strong understanding of generative AI techniques, including deep generative models and reinforcement learning. Expertise in CI / CD pipeline design and management, particularly in the context of generative AI. Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes). Data Management Skills : Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.G., Snowflake). Beneficial Skills Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.G., ChatGPT). Understanding of AI agents for decision-making and deployment of complex applications. Experience in the commercial domain or specific industry knowledge (e.G., biopharmaceuticals). Soft Skills Exceptional communication and collaboration abilities to work effectively with cross-functional teams. Strong problem-solving skills combined with critical thinking to analyze complex challenges. Ability to present findings and strategies clearly to leadership and stakeholders.