AI Architect
Summary
Design and deploy end-to-end AI platforms, from data ingestion to model monitoring, while ensuring scalability, security, and compliance.
The main responsibilities include:
• Design end-to-end AI platform/solutions, from data ingestion to model deployment and monitoring.
• Translate business problems into scalable AI architecture and technical specifications.
• Collaborate with various stakeholders that include data scientists, engineers, product managers and business stakeholders in realizing AI technology.
• Ensure AI solutions meet performance, scalability and reliability requirements.
• Incorporate security, governance, and compliance into AI system design.
• Provide architecture, solution and project support related to AI realization.
• Establish and maintain the AI security guardrail baseline
Required qualifications:
• Bachelor's or Master's degree in Computer Science, AI data science, AI or related field.
• 5+ years of experience in software architecture, data engineering and AI/ML system design & implementation.
• Strong understanding of machine learning, deep learning and data engineering concepts.
• Experience and knowledge of cloud platforms (Azure, AWS, GCP) and AI services.
• Proficiency in programming languages such as Python, Java and Scala.
• Knowledge of APIs, microservices architecture and distributed systems.
• Strong problem solving skills and communication skills.