AI Data Architect

At Lobox, we value diversity and are committed to creating an inclusive and supportive work environment for all employees

Position: AI Data Architect

Location: San Francisco, California, United States

Salary: $228000 - $256000

Summary: Lobox is seeking a highly skilled and experienced AI Data Architect to join our dynamic team. As an AI Data Architect, you will be responsible for designing, implementing, and maintaining our AI data infrastructure. You will work closely with our data scientists, engineers, and business stakeholders to ensure that our AI solutions are scalable, reliable, and accurate. The ideal candidate will have a deep understanding of AI technologies, data architecture, and experience working with large and complex datasets.

Key Responsibilities:

• Design and implement data architecture for AI solutions, including data ingestion, storage, and processing.
• Work closely with data scientists to understand and anticipate their data requirements.
• Collaborate with engineering teams to ensure that data pipelines are efficient, scalable, and performant.
• Develop data models and schemas to support AI algorithms and applications.
• Analyze and evaluate data sources to ensure that data quality and integrity are maintained.
• Implement data governance policies and procedures to ensure compliance with data privacy regulations.
• Monitor and optimize AI data infrastructure to ensure high availability and performance.
• Continuously research and evaluate new AI technologies, tools, and frameworks to improve our data infrastructure.
• Provide guidance and training to junior data architects and data engineers.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in data architecture, data engineering, or a related role.
• Proven track record of designing and implementing data architecture for AI solutions.
• Strong understanding of AI technologies, including machine learning, natural language processing, and computer vision.
• Experience with big data technologies, such as Hadoop, Spark, and Kafka.
• Proficient in SQL and programming languages such as Python, R, or Java.
• Knowledge of data modeling and data warehousing concepts.
• Experience working with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

We offer competitive salaries, comprehensive benefits, and opportunities for growth and development. Join our team and be part of shaping the future of AI technology.