Job DescriptionKey Responsibilities
N
n
Design and develop AI-ready data products using Snowflake and its AI capabilities. N
Translate business and analytical requirements into scalable AI/data product architectures. N
Build and productionizedata products that support GenAI, LLM, AI-agent, ML, and advanced analytics use cases. N
Develop scalable data pipelines, data models, and transformations within Snowflake. N
Leverage the Snowflake AI ecosystem to build intelligent data applications and AI-driven solutions. N
Work with capabilities such as Snowflake Cortex, Snowflake Intelligence, Snowpark, Cortex Analyst, Cortex Search, or equivalent Snowflake AI services. N
Design solutions for structured and unstructured data to support AI and analytics applications. N
Develop reusable, governed data products that can be consumed by AI applications, data scientists, analysts, and business users. N
Work closely with data scientists, ML engineers, AI product managers, architects, and business stakeholders. N




Take ownership of AI/data products through the complete lifecycle: N
requirement → architecture → development → testing → deployment → production support. N
Design and implement data models and semantic structures optimized for AI consumption. N
Develop Python and SQL-based data transformations and AI/data workflows. N
Implement data quality,validation, monitoring, and reliability mechanisms. N
Use Git/GitHub-based development practices, including branching, pull requests, code reviews, and CI/CD. N
Ensure appropriate security, access controls, governance, and data privacy for AI data products. N
Document technical architecture, data flows, AI use cases, and product design decisions. N
Work with enterprise/legacy data settings and contribute to modernization initiatives. N
Communicate technical concepts effectively to both technical and non-technical stakeholders. N

nRequired Qualifications
N
n
7+ ye

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