AI and Data Architect

Responsibilities: - Design and implement scalable, reliable, and secure AI and data architectures to support enterprise needs. - Lead the development of data models, data standards, and data processes within the organization. - Collaborate with stakeholders to understand business requirements and translate them into data architecture solutions. - Oversee the integration of complex data sources to create data ecosystems that support AI applications. - Provide expert guidance and mentorship to data engineers, data scientists, and other relevant team members. - Evaluate and select appropriate tools, technologies, and platforms to optimize AI and data functionalities. - Ensure the robustness, accuracy, security, and efficiency of data processes and AI models. - Work cross-functionally to support the organization in leveraging data-driven decision-making. - Keep abreast of the latest developments in AI and data architecture and incorporate them into strategic planning. Requirements: - Proven experience designing and managing large-scale data architecture systems. - Expertise in AI technologies and machine learning frameworks. - Strong proficiency in programming languages such as Python, Java, or similar. - Familiarity with cloud platforms like AWS, Google Cloud, or Azure. - Extensive experience with data warehousing solutions, such as Snowflake or Redshift. - Strong understanding of data governance, data security, and compliance best practices. - Ability to work collaboratively in a fast-paced, dynamic environment. - Excellent problem-solving skills and ability to innovate. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. - Over 10 years of relevant experience in data architecture and AI-related roles. - Relevant certifications such as Certified Data Management Professional (CDMP) or AWS Certified Data Analytics are a plus. - Excellent communication and leadership skills. - Proven track record in leading complex AI and data architecture projects. Show more Show less

Proven experience designing and managing large-scale data architecture systems. Expertise in AI technologies and machine learning frameworks. Strong proficiency in programming languages such as Python, Java, or similar. Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Extensive experience with data warehousing solutions, such as Snowflake or Redshift. Strong understanding of data governance, data security, and compliance best practices. Ability to work collaboratively in a fast-paced, dynamic environment. Excellent problem-solving skills and ability to innovate.

Design and implement scalable, reliable, and secure AI and data architectures to support enterprise needs. Lead the development of data models, data standards, and data processes within the organization. Collaborate with stakeholders to understand business requirements and translate them into data architecture solutions. Oversee the integration of complex data sources to create data ecosystems that support AI applications. Provide expert guidance and mentorship to data engineers, data scientists, and other relevant team members. Evaluate and select appropriate tools, technologies, and platforms to optimize AI and data functionalities. Ensure the robustness, accuracy, security, and efficiency of data processes and AI models. Work cross-functionally to support the organization in leveraging data-driven decision-making. Keep abreast of the latest developments in AI and data architecture and incorporate them into strategic planning.