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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Cortex AI - **Company:** Snowflake Inc. - **Location:** Easton, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Data Analysis, ARM Architecture, Code Review, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Role-Based Access Control, Search Technologies, SQL Databases, Feature Engineering, Large Language Models, Snowflake, Generative AI, Information Technology, Data Management, Machine Learning Operations, Network Server, Data Pipelines - **Published:** September 10, 2026 - **Apply:** https://www.dice.com/job-detail/17c8e5c2-e876-42fa-af60-c670a69107aa ## About the Role * Bachelor's degree or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience. Years of Experience: * 8+ years of experience in data engineering, data architecture, analytics, or AI/ML architecture. * 4+ years of hands-on experience with Snowflake, including enterprise-scale data platform architecture. * 2+ years of hands-on experience with Snowflake Cortex AI capabilities. Skills: * Strong experience with Snowflake and Snowflake Cortex AI. * Strong experience with Generative AI fundamentals and enterprise AI/ML solutions. * Experience with Snowflake CoCo, Cortex Sense, and Snowflake-managed MCP servers. * Strong experience with Snowpark using Python, Java, or Scala. * Experience with Snowflake ML, Model Registry, feature engineering, and inference at scale. * Expert-level Python and strong SQL skills. * Strong understanding of ETL concepts and scalable data pipelines, data modeling, and data warehousing. * Experience conducting architecture reviews, design reviews, and code reviews. * Snowflake certifications such as SnowPro Core or SnowPro Advanced Architect are preferred. ## Description * Architect and lead the design of enterprise-scale Snowflake Cortex AI solutions, including Cortex AISQL, Cortex Analyst, Cortex Search, Cortex Agents, Document AI, and fine-tuning. * Design and implement Retrieval-Augmented Generation (RAG) pipelines using Cortex Search, vector embeddings, and appropriate chunking, retrieval, and reranking strategies. * Build conversational analytics and text-to-SQL experiences using Cortex Analyst over governed semantic models, with defined accuracy and evaluation criteria. * Apply Cortex LLM functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, EXTRACT_ANSWER, CLASSIFY) within SQL and Python workflows where they are the right tool for the job. * Configure Cortex Sense to assemble shared business context that grounds CoWork and CoCo agents for higher out-of-the-box accuracy. * Expose Cortex Agents, semantic views, and search services as reusable tools via Snowflake-managed MCP servers for consumption across MCP-compatible clients. * Enable teams to build with Snowflake CoCo - the Snowflake-native, data-aware AI coding agent - to accelerate data engineering, ML pipelines, and agent development in ways that respect catalog, lineage, and RBAC. * Lead integration of vector search and embedding models into AI-powered data workflows. Data Platform & Engineering * Define and own the technical architecture and multi-year roadmap for Snowflake-based AI and data platforms. * Lead the design of scalable data pipelines, data models, and warehousing solutions optimized for both performance and cost. * Drive adoption of Snowpark (Python/Java/Scala) for advanced data engineering and ML workflows. * Develop and deploy models using Snowflake ML, Snowpark, and Model Registry; operationalize feature engineering and inference at scale. * Oversee pipeline orchestration using Airflow, dbt, Matillion, or comparable tooling. Governance, Security & Standards * Establish and enforce architectural standards, best practices, and governance frameworks for Snowflake and Cortex AI implementations. * Ensure solutions meet data security, privacy, compliance, and governance requirements - particularly in regulated environments such as financial services. * Conduct architecture reviews, design reviews, and code reviews across data engineering teams. Leadership & Stakeholder Engagement * Partner with senior business stakeholders, data scientists, and engineering leaders to identify high-value AI/ML use cases and translate requirements into deliverable architecture. * Mentor and guide senior data engineers, analysts, and architects on Snowflake and AI best practices. * Stay current with Snowflake product releases and Cortex AI advancements, and proactively recommend adoption where it creates measurable value. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Are Code Reviews Worth It? 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