As a Data Architect, you will be instrumental in defining the data requirements and structure for our applications. Your responsibilities will include modeling and designing the application data structure, storage mechanisms, and integration strategies. This role demands a strategic approach to organizing data to ensure application functionality, scalability, and seamless integration.

You will collaborate with diverse teams to align data architecture with overarching project objectives. Continuous refinement of data models will be key to meeting evolving business needs and technological advancements. This position offers an exciting opportunity to shape the future of data within innovative AI LLM technologies.

Independently drive projects and become a subject matter expert in data architecture. Actively contribute to team discussions and offer insightful solutions to complex problems. Collaborate with cross-functional teams to ensure data architecture aligns with overall project objectives. Maintain comprehensive documentation of data models and integration processes for knowledge sharing and future development. Provide guidance and support to junior team members in understanding data architecture principles. Continuously evaluate and enhance data storage and integration strategies to boost application performance.

A minimum of 3 years of experience in Agent Development is essential for this role. Proficiency in Agent Development, Python, Large Language Models (LLMs), and Agentic Design is a must. Strong knowledge of data modeling techniques and best practices for application data structures is required. Experience in designing scalable and efficient data storage solutions is also necessary. Familiarity with data integration methods and tools is vital for ensuring smooth data flow across systems. The ability to analyze complex data requirements and translate them into effective architectural designs is critical for success. A 15-year full-time education is a prerequisite for this position.