Snowflake AI Engineer

Machine Learning Technologies, LLC

Las Vegas (NV)

In loco

USD 150.000 - 190.000

Tempo pieno

11 ore fa
Candidati tra i primi

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Descrizione del lavoro

Machine Learning Technologies, LLC in Las Vegas seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake, with emphasis on Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

You will lead architecture reviews, PoCs, and deployments; design AI pipelines, RAG and semantic layers; and architect scalable data platforms using Snowflake, Kafka, Spark, Airflow, dbt, and cloud services.

Competenze

  • 5+ years in Data Engineering or related fields.
  • Deep Snowflake architecture, security, governance, and performance.
  • Hands-on 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.
  • Snowflake certifications preferred.
  • Experience integrating OpenAI, Anthropic, Gemini or open models.

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

Snowflake
Python
SQL
Airflow
dbt
Spark
Kafka
Cloud platforms
Presentation skills

Strumenti

Cortex AI
CoCO
CoCO Desktop
Snowpark
Streamlit
Snowpipe
Dynamic Tables

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.

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