| Job Description Job Title: Snowflake Cortex AI Engineer/ Snowflake AI & Data Engineering Snowflake AI Engineer Duration: long term Location: Las Vegas, NV (Onsite - Mon to Fri) Description: About the Role
We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms. Key Responsibilities - Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
- Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
- Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
- Build robust ELT/ETL pipelines and real-time integrations.
- Lead workshops, architecture reviews, PoCs, and production deployments.
- Develop reusable accelerators and best practices.
Required Qualifications - 5 years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
- Deep expertise in Snowflake architecture, security, governance, and performance optimization.
- Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
- Experience building LLM, RAG, vector search, and agentic AI solutions.
- Strong SQL and Python skills.
- Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud Platform).
- Strong customer-facing communication and solution architecture skills.
Preferred Qualifications - Snowflake certifications (Architect, Data Engineer, AI specialization).
- Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
- Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
- Knowledge of enterprise security, governance, privacy, and compliance frameworks.
Ideal Candidate - A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.
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