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Urgent! Sr AI/ML Architect, Applied Field Engineering Job Opening In USA, USA – Now Hiring Snowflake
Snowflake is about empowering enterprises to achieve their full potential — and people too.
With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience and understanding of large-scale infrastructure-as-a-service platforms (, Microsoft Azure, GCP, etc.)
1+ years of practical Snowflake experience.
Knowledge of and experience with large-scale database technology (, Netezza, Exadata, Teradata, Greenplum, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Sr AI Potential: Insight & Career Growth Guide
Real-time Sr AI Jobs Trends in United States, United States (Graphical Representation)
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Great news! Snowflake is currently hiring and seeking a Sr AI/ML Architect, Applied Field Engineering to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Snowflake adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr AI/ML Architect, Applied Field Engineering Jobs United States varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr AI/ML Architect, Applied Field Engineering typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sr AI/ML Architect, Applied Field Engineering interview at Snowflake, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Snowflake's products or services and be prepared to discuss how you can contribute to their success.
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