Snowflake Cortex AI Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement AI-driven business applications and analytics using Snowflake Cortex ecosystem components such as Semantic Models, Cortex Search, Cortex Agents, and AISQL.
Develop scalable retrieval-augmented generation (RAG) solutions, AI-powered knowledge retrieval systems, and intelligent agents to automate business processes and enhance decision-making.
Collaborate with business and technical teams to translate complex business requirements into governed, secure, and production-ready AI solutions emphasizing governance, security, performance, and cost optimization.
Minimum Requirements
Strong hands-on experience with Snowflake Cortex AI capabilities including Cortex Analyst, Cortex Search, Cortex Agents, AISQL Functions, and Semantic Models.
Proficiency in developing GenAI and Large Language Model-based solutions, including prompt engineering and semantic search integration.
Expertise in SQL, dimensional and semantic data modeling in Snowflake to support AI-driven analytics and governed business metrics.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in architecting and deploying scalable, secure AI solutions on Snowflake with deep technical knowledge across AI-centric Snowflake native services.
Comfortable working cross-functionally with business stakeholders to translate requirements into measurable AI-enabled outcomes.
Strong Python development skills and familiarity with AI solution lifecycle including testing, validation, and continuous improvement within cloud and governed enterprise environments.