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Snowflake Generative Ai Jobs (NOW HIRING)

Senior Solution Engineer

$56.50 - $73/hr

... generative AI solutions in the cloud. • Broad range of experience within large-scale Database and ... Snowflake is a cloud data platform that provides a data warehouse as a service designed for the ...

... generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data ...

Senior Solution Engineer

$56.50 - $73/hr

... generative AI solutions in the cloud. • Broad range of experience within large-scale Database and ... Snowflake is a cloud data platform that provides a data warehouse as a service designed for the ...

Solution Engineer

New York, NY · On-site +1

$165K - $216K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... Familiarity with AI/ML concepts, including Generative AI and LLMs. * Exceptional communication ...

... generative AI, LLMs, agentic frameworks, advanced ML, and modern data and cloud platforms like Databricks, Snowflake, and more. Our clients range from companies just starting to explore AI to ...

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Design AI-ready data architectures that support both structured and unstructured data for advanced analytics and generative AI use cases. * Establish Snowflake governance standards including security ...

Engineer, Applied AI

$129K - $149K/yr

Design, prototype, and deploy Generative AI solutions across NDR's client-facing and internal ... Familiarity with Snowflake, dbt, and data pipelines used in support of AI solutions. * Experience ...

... generative AI solutions in the cloud. • Broad range of experience within large-scale Database and ... Snowflake is a cloud data platform that provides a data warehouse as a service designed for the ...

... generative and agentic frameworks • Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data ...

Design, prototype, and deploy Generative AI solutions across NDR's client-facing and internal ... Familiarity with Snowflake, dbt, and data pipelines used in support of AI solutions. * Experience ...

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

... generative AI applications. • Implement retrieval-augmented generation (RAG) components ... Snowflake. • Implement ingestion, modeling, and consumption patterns that meet enterprise ...

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Snowflake Generative Ai information

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$35

$67

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How much do snowflake generative ai jobs pay per hour?

As of Jun 9, 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 Solution Engineer

$56.50 - $73/hr

Full-time

Posted 13 days ago


Job description

Job Summary:
Snowflake is a rapidly growing company focused on reinventing the database space. They are seeking a Senior Solution Engineer to solve complex customer problems, work with sales teams, and demonstrate the value of Snowflake's technology throughout the sales cycle.
Responsibilities:
• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Qualifications:
Required:
• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
• Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space.
• A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Preferred:
• Masters in Data Science or Business Administration is a plus.
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.