Roles and Responsibilities

• Operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability.
• AI Architect closes this data-to-insight-to-action loop, which requires deep understanding of the applications and integration infrastructure environment. Setting up AI/ML processing environments in IT landscape is a must.
• Detailing mapping IT and security process to AI process. Influencing and working with business partners to establish and accelerate AI adoption.Audit AI solutions for architecture, scalability and security; especially in an enterprise landscape with cloud as apriority.
• Mapping requirements to implementation - Analysing, coordinating, prioritizing and optimizing requirements. Ensuring implementation even with constraints.
• Selecting technology - selecting appropriate technologies from the many open source, commercial on-premises,and cloud-based offerings available. Integrating a new generation of tools within the existing environment is alsoto help ensure access to accurate and current data. 
• Ensures that components can be replaced with well-suited alternatives that do not require any adjustment or downtime.
• Foresight when selecting new technologies like Functional and non functional requirements - considering aspects like security, usability and stability
• Leading the ITSAC discussions and working with stakeholders for approval

Preferred Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• Proven experience as an Artificial Intelligence Architect or a similar role
• Strong knowledge of AI technologies and frameworks, such as TensorFlow, PyTorch, and Keras
• Proficiency in programming languages like Python or Java
• Experience with data modeling and visualization
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities.