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Snowflake Generative Ai Jobs (NOW HIRING)

Arohak Inc

$122K - $146K/yr

Required Skills Agentic AI & Generative AI * 3+ years of hands-on experience in Generative AI and ... Snowflake Data Engineering * Data Pipelines and Data Sharing * Snowflake Native Applications

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud ... Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake ...

E-Solutions

AI/ML with Snowflake

Sunnyvale, CA

$136K - $163K/yr

JD * 6+ years of experience as data engineer and snowflake developer along with ML exposure ... LLMs) and Generative AI. * Comprehensive knowledge and hands-on experience with fine-tuning ...

Icwgroup

Applied AI Engineer

San Diego, CA · On-site

The engineer will contribute to AI initiatives while developing expertise in generative AI, cloud deployment, and feature engineering using Snowflake. ESSENTIAL DUTIES AND RESPONSIBILITIES

Icwgroup

Applied AI Engineer

San Diego, CA · On-site

The engineer will contribute to AI initiatives while developing expertise in generative AI, cloud deployment, and feature engineering using Snowflake. ESSENTIAL DUTIES AND RESPONSIBILITIES

ICW Group

Applied AI Engineer

San Diego, CA · On-site

The engineer will contribute to AI initiatives while developing expertise in generative AI, cloud deployment, and feature engineering using Snowflake. ESSENTIAL DUTIES AND RESPONSIBILITIES

ICW Group

Applied AI Engineer

San Diego, CA

The engineer will contribute to AI initiatives while developing expertise in generative AI, cloud deployment, and feature engineering using Snowflake. ESSENTIAL DUTIES AND RESPONSIBILITIES

MethodHub

Bisoftllc is looking for Generative AI Data Analytics Go-To-Market Define and execute the Gen AI Go ... Snowflake, NVIDIA) -- for joint pursuits, co-sales, and funding for PoCs, pilots and thought ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

The ideal candidate brings deep expertise across GCP, AWS, and Snowflake, strong experience with modern data platforms and lakehouse architectures, and proven leadership in AI/ML, Generative AI, and ...

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Snowflake Generative Ai information

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How much do snowflake generative ai jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for snowflake generative ai in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

How does a Snowflake Generative AI specialist typically collaborate with data engineering and analytics teams?

As a Snowflake Generative AI specialist, you'll often work closely with data engineering teams to ensure data pipelines are optimized for AI model training and inference, as well as with analytics professionals to align AI outputs with business insights. Collaboration often involves joint planning sessions to integrate generative AI models into existing Snowflake data workflows while maintaining data security and performance standards. Clear communication and cross-functional teamwork are essential, as you'll be translating complex AI requirements into actionable tasks for colleagues with varied technical backgrounds.

What are the key skills and qualifications needed to thrive as a Snowflake Generative AI Engineer, and why are they important?

To thrive as a Snowflake Generative AI Engineer, you need deep expertise in data engineering, SQL, Python, and familiarity with machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with Snowflake's cloud data platform, experience with AI/ML frameworks like TensorFlow or PyTorch, and relevant certifications (such as SnowPro) are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively across data and engineering teams. These competencies are crucial to designing scalable AI solutions, integrating advanced analytics, and driving innovation using Snowflake’s capabilities.

What is the difference between Snowflake Generative Ai vs Data Engineer?

AspectSnowflake Generative AiData Engineer
Required CredentialsKnowledge of Snowflake platform, AI/ML concepts, programming skillsComputer Science degree, SQL, Python, data modeling
Work EnvironmentCloud-based, AI-focused projects within data platformsData pipelines, database management, ETL processes
Industry UsageAI-driven data insights, automation, analyticsData infrastructure, data integration, system optimization

Snowflake Generative Ai specializes in AI-driven data generation and automation within the Snowflake platform, focusing on AI/ML integration. Data Engineers build and maintain data pipelines, manage data infrastructure, and support data analytics. While both roles work with data, Snowflake Generative Ai emphasizes AI applications, whereas Data Engineers focus on data architecture and processing.

What is a Snowflake Generative AI professional?

A Snowflake Generative AI professional specializes in leveraging Snowflake's cloud data platform to build, deploy, and optimize generative AI solutions. This role involves integrating machine learning models, particularly those for text, image, and code generation, within Snowflake’s infrastructure. Responsibilities may include data preparation, fine-tuning AI models, and managing pipelines that support scalable AI-driven applications. These professionals are also expected to stay updated on the latest advancements in Snowflake’s AI capabilities and best practices for data security and compliance.
Infographic showing various Snowflake Generative Ai job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
Senior Data & AI Analyst / BI Engineer - (Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Senior Data & AI Analyst / BI Engineer - (Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Projas Technologies, LLC

Sacramento, CA

$115K - $156K/yr

Other

Posted 10 days ago

Job description

We re Hiring! Senior Data & AI Analyst / BI Engineer -
(Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Looking for a highly skilled data professional to join an exciting, high-impact project. If you re passionate about Data Analytics, Business Intelligence, and Generative AI, we want to talk to you!

Prior experience with State projects is highly desired

Minimum Technical Qualifications

  • 2+ years of hands-on experience using Generative AI or Machine Learning to deliver data analytics solutions.

  • 5+ years designing & developing Power BI dashboards, data models, and BI solutions (Microsoft Power BI).

  • 5+ years of advanced SQL development writing and optimizing queries, stored procedures, functions, and views with strong database fundamentals.

  • 3+ years building data solutions using Snowflake or AWS Redshift data warehouses.

  • Bachelor s degree in Computer Science, Information Technology, or equivalent technical background.

  • 5+ years of Agile & SDLC experience, contributing to iterative delivery and cross-functional collaboration.

  • 5+ years of Power BI DAX expertise measures, queries, calculations, and complex data models.

  • Experience in State agencies, Financial Services, Investment portfolios, or other regulated industries (highly preferred).

Who Should Apply?

Professionals who thrive in data-driven environments, enjoy solving complex problems, and excel at delivering scalable analytics solutions using the latest cloud and AI technologies.

Power BI Developer, BI Engineer, Data Analyst, Data Engineer, SQL Developer, Snowflake Engineer, AWS Redshift, Generative AI, Machine Learning, DAX Expert, Agile, Data Modeling, Cloud Data Warehouse, Analytics Engineer, Business Intelligence, Enterprise Data.

Apply