Snowflake Cortex AI Engineer
TSIT Digital Technologies Private Limited · Bengaluru · onsite · Posted 1d ago
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About this role
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
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