Snowflake Cortex AI Engineer

Job Description – Snowflake Cortex AI Engineer

Function: Data & AI Engineering / Generative AI

Experience Level: 6-12 Year

Role Summary

We are looking for a Snowflake Cortex AI Engineer to design, build, and deploy enterprise-grade AI and Generative AI solutions on the Snowflake platform. The ideal candidate will leverage the Snowflake Cortex ecosystem to develop intelligent assistants, semantic analytics, knowledge search solutions, and AI-powered business applications that enable natural language interactions, automation, and actionable insights across diverse business domains.

Key Responsibilities

•  Design and implement AI-powered analytics and business solutions using Snowflake Cortex capabilities.

•  Develop and manage Semantic Models/Semantic Views to enable natural language querying and governed business metrics.

•  Build and optimize Cortex Search solutions for enterprise knowledge retrieval and document intelligence.

•  Design and configure Cortex Agents for intelligent orchestration of structured and unstructured data sources.

•  Implement AI use cases using Cortex AISQL functions such as summarization, classification, extraction, sentiment analysis, and content generation.

•  Develop AI applications using Streamlit in Snowflake (SiS), Snowsight, and Python-based frameworks.

•  Create scalable data preparation pipelines, data models, and AI-ready datasets.

•  Collaborate with business stakeholders to translate requirements into AI-driven solutions and measurable business outcomes.

•  Apply enterprise governance, RBAC, security, monitoring, and cost optimization best practices.

•  Perform testing, validation, and continuous improvement of AI models, agents, and applications.

Required Skills & Experience

•  Strong hands-on experience with Snowflake Cortex, including: 

o  Cortex Analyst

o  Cortex Search

o  Cortex Agents

o  Cortex AISQL Functions

o  Semantic Models / Semantic Views

•  Strong SQL and data modeling expertise (dimensional, semantic, and analytical models).

•  Experience with Generative AI, LLMs, prompt engineering, RAG architectures, embeddings, and agent design.

•  Proficiency in Python and experience building data or AI applications using Streamlit.

•  Good understanding of Snowflake platform administration, RBAC, governance, performance tuning, and cost optimization.

•  Experience integrating AI solutions with enterprise data platforms and business applications.

•  Strong analytical, problem-solving, and stakeholder communication skills.

Good to Have

•  Experience with Snowflake Document AI for document processing and information extraction.

•  Experience with Snowflake Notebooks, Snowpark Python, Dynamic Tables, Streams, and Tasks.

•  Knowledge of Cortex ML capabilities, vector embeddings, AI observability, and model evaluation frameworks.

•  Familiarity with dbt, CI/CD pipelines, DevOps practices, and Infrastructure-as-Code.

•  Experience integrating Snowflake AI solutions with Power BI, Tableau, Microsoft Copilot, or other enterprise platforms.

•  SnowPro, GenAI, or cloud certifications (Azure, AWS, GCP).

Core Competencies

•  Strong business and technical acumen.

•  Ability to translate complex business requirements into scalable AI solutions.

•  Excellent communication and stakeholder management skills.

•  Passion for innovation, automation, and emerging AI technologies.

•  Experience working in Agile delivery environments and cross-functional teams