Snowflake AI Engineer

Robotics Technologies LLC; Las Vegas (NV); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Las Vegas, NV, seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. This role blends customer engagement, solution architecture, data engineering, and AI deployment.

You will work with Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms, leading workshops and PoCs, and delivering production-ready pipelines and accelerators.

Competenze

• 5+ years in Data Engineering, Analytics Engineering, or Data Platforms.
• Deep Snowflake architecture, security, governance, and performance knowledge.
• Hands-on with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI 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.

Mansioni

• 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.

Conoscenze

SQL

Python

Data engineering

Solution architecture

Airflow

Spark

Strumenti

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Kafka

Spark

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.