Snowflake Cortex AI Engineer

Overview

Design, build, and deploy enterprise-grade AI and Generative AI solutions on the Snowflake platform using the Snowflake Cortex ecosystem. 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.

What you'll do

• 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.

What you'll need

• 5+ Years of experience.
• Strong hands-on experience with Snowflake Cortex, including Cortex Analyst.
• Strong hands-on experience with Cortex Search.
• Strong hands-on experience with Cortex Agents.
• Strong hands-on experience with Cortex AISQL Functions.
• Strong hands-on experience with Semantic Models / Semantic Views.
• Strong SQL and data modeling expertise, including 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.

Details

• Job locations stated in the description: Hyderabad, Bangalore, Chennai, Kolkata, Noida, Gurgaon, Pune, Indore, and Mumbai.
• The ATS location is IND - KA - BANGALORE.
• The work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.