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High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Nov 26, 2025

Job Description

Senior AI/ML Architect, Applied Field Engineering at Snowflake

Snowflake is revolutionizing the way organizations manage and leverage their data. We're not just building a data warehouse; we're building the AI Data Cloud, a platform that empowers enterprises to unlock the full potential of their data with artificial intelligence and machine learning. As a Senior AI/ML Architect in our Applied Field Engineering team, you'll be at the forefront of this transformation, helping our customers design, architect, and implement cutting-edge AI solutions on the Snowflake platform.

Role Overview

In this highly visible and impactful role, you will be the trusted advisor and technical expert for our customers, guiding them on their journey to becoming AI-driven organizations. You will partner closely with account teams, data scientists, and technical decision-makers to understand their business challenges and design tailored AI solutions that leverage the power of Snowflake. Your expertise in machine learning, generative AI, and cloud computing will be critical in driving successful proof-of-concepts, securing technical wins, and fostering long-term customer relationships.

Day in the Life

Here's a glimpse into what your day might look like:

  • Morning: Start your day by reviewing the latest advancements in AI/ML and Snowflake's offerings. Prepare for a customer meeting by researching their industry, business challenges, and technical environment.
  • Afternoon: Meet with a customer to discuss their AI strategy and identify opportunities to leverage Snowflake's AI Data Cloud. Whiteboard potential solutions, answer technical questions, and provide guidance on best practices.
  • Late Afternoon: Collaborate with Snowflake's product and engineering teams to provide feedback on customer requirements and influence the roadmap for future AI/ML features.
  • Evening: Develop a blog post or presentation on a specific AI/ML topic to share your knowledge with the broader Snowflake community.

Why Menlo Park, CA?

Menlo Park is at the heart of Silicon Valley, a vibrant hub of innovation and technology. Being located in Menlo Park provides you with unparalleled access to industry events, networking opportunities, and a talented pool of AI/ML professionals. Snowflake's Menlo Park office offers a collaborative and inspiring work environment, where you'll be surrounded by passionate colleagues who are pushing the boundaries of what's possible with data and AI.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and advancement. As a Senior AI/ML Architect, you can progress along several career paths, including:

  • Principal AI/ML Architect: Lead complex AI/ML projects and provide technical leadership to a team of architects.
  • AI/ML Practice Lead: Develop and execute Snowflake's AI/ML strategy for a specific industry or region.
  • AI/ML Product Manager: Define and prioritize the features and functionality of Snowflake's AI/ML Data Cloud.

Salary & Benefits

Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for this position is typically between $160,000 and $280,000 per year, depending on experience and qualifications. In addition to salary, Snowflake offers a comprehensive benefits package that includes:

  • Health insurance (medical, dental, vision)
  • Paid time off and holidays
  • Employee stock purchase plan
  • 401(k) with company match
  • Life insurance and disability coverage
  • Flexible spending accounts
  • Employee assistance program

Innovation Culture

Snowflake is a company that embraces innovation and encourages its employees to challenge the status quo. We are constantly pushing the boundaries of what's possible with data and AI, and we are looking for people who share our passion for innovation. At Snowflake, you'll have the opportunity to work on cutting-edge technologies, collaborate with some of the brightest minds in the industry, and make a real impact on the world.

How to Apply

If you are a passionate and experienced AI/ML professional who is looking for a challenging and rewarding career, we encourage you to apply for the Senior AI/ML Architect position at Snowflake. To apply, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

FAQ

  1. What is Snowflake's AI Data Cloud? Snowflake's AI Data Cloud is a unified platform that enables organizations to store, process, and analyze all of their data, including structured, semi-structured, and unstructured data. It also provides a rich set of AI/ML tools and services that enable organizations to build and deploy AI-powered applications.
  2. What are the key features of Snowflake's AI Data Cloud? Key features include: scalable storage and compute, support for various data formats, a rich set of AI/ML tools and services, and integration with popular AI/ML frameworks.
  3. What types of AI/ML solutions can be built on Snowflake? A wide range of AI/ML solutions can be built on Snowflake, including: fraud detection, customer churn prediction, personalized recommendations, and natural language processing.
  4. What is the role of the Senior AI/ML Architect? The Senior AI/ML Architect is responsible for designing, architecting, and implementing AI/ML solutions for Snowflake's customers.
  5. What skills and experience are required for this role? The ideal candidate will have 5+ years of experience in building and deploying machine learning and generative AI solutions in the cloud, strong programming skills (Python), and experience with data engineering tools and technologies.
  6. What is the career path for this role? As a Senior AI/ML Architect, you can progress along several career paths, including: Principal AI/ML Architect, AI/ML Practice Lead, and AI/ML Product Manager.
  7. What is the salary range for this role? The salary range for this position is typically between $160,000 and $280,000 per year, depending on experience and qualifications.
  8. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package that includes health insurance, paid time off, employee stock purchase plan, 401(k), and more.
  9. What is Snowflake's culture like? Snowflake has a collaborative and innovative culture, where employees are encouraged to challenge the status quo and push the boundaries of what's possible.
  10. How do I apply for this role? To apply, please submit your resume and cover letter through our online application portal.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

160,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningintermediate
  • Generative AIintermediate
  • Cloud Computingintermediate
  • Pythonintermediate
  • LangChainintermediate
  • pandasintermediate
  • sklearnintermediate
  • PyTorchintermediate
  • Data Engineeringintermediate
  • dbtintermediate
  • Airflowintermediate
  • Sparkintermediate
  • Presentation Skillsintermediate
  • Whiteboardingintermediate
  • Demo Deliveryintermediate
  • Prompt Engineeringintermediate
  • Fine-tuningintermediate
  • RAGintermediate

Required Qualifications

  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
  • Familiarity with generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning. (experience)
  • Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, and PyTorch). (experience)
  • Experience with data engineering tools and technologies like dbt, Airflow, and Spark. (experience)
  • Strong presentation skills to technical and executive audiences. (experience)
  • Bachelor’s Degree required, Masters Degree preferred in computer science, engineering, mathematics, or related fields. (experience)
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex. (experience)
  • Experience with large-scale infrastructure-as-a-service platforms (AWS, Microsoft Azure, GCP). (experience)
  • 1+ years of practical Snowflake experience (Bonus). (experience)
  • Knowledge of large-scale database technology (Snowflake, Netezza, Exadata, Teradata, Greenplum) (Bonus). (experience)

Responsibilities

  • Serve as the technical expert for Snowflake’s AI and ML features to technical stakeholders.
  • Partner with account teams to scope and drive POCs to success.
  • Prove the value of Snowflake’s capabilities through executive readouts and business value cases.
  • Collaborate with product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
  • Publish content (blog posts, presentations, technical collateral) to scale team and company knowledge.
  • Influence, tailor, and maintain Sales Engineering AI and ML selling assets.
  • Developing and delivering compelling presentations and demonstrations of Snowflake's AI/ML capabilities.
  • Creating and maintaining customer stories and references.
  • Staying up-to-date with the latest advancements in AI/ML and Snowflake's offerings.
  • Providing technical guidance and support to Snowflake's sales and marketing teams.
  • Participating in industry events and conferences to promote Snowflake's AI/ML solutions.
  • Contributing to the development of Snowflake's AI/ML strategy and roadmap.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on cutting-edge AI/ML technologies.
  • general: Chance to make a significant impact on Snowflake's growth.
  • general: Collaborative and supportive work environment.
  • general: Professional development opportunities.
  • general: Health insurance (medical, dental, vision).
  • general: Paid time off and holidays.
  • general: Employee stock purchase plan.
  • general: 401(k) with company match.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts.
  • general: Employee assistance program.

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High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Nov 26, 2025

Job Description

Senior AI/ML Architect, Applied Field Engineering at Snowflake

Snowflake is revolutionizing the way organizations manage and leverage their data. We're not just building a data warehouse; we're building the AI Data Cloud, a platform that empowers enterprises to unlock the full potential of their data with artificial intelligence and machine learning. As a Senior AI/ML Architect in our Applied Field Engineering team, you'll be at the forefront of this transformation, helping our customers design, architect, and implement cutting-edge AI solutions on the Snowflake platform.

Role Overview

In this highly visible and impactful role, you will be the trusted advisor and technical expert for our customers, guiding them on their journey to becoming AI-driven organizations. You will partner closely with account teams, data scientists, and technical decision-makers to understand their business challenges and design tailored AI solutions that leverage the power of Snowflake. Your expertise in machine learning, generative AI, and cloud computing will be critical in driving successful proof-of-concepts, securing technical wins, and fostering long-term customer relationships.

Day in the Life

Here's a glimpse into what your day might look like:

  • Morning: Start your day by reviewing the latest advancements in AI/ML and Snowflake's offerings. Prepare for a customer meeting by researching their industry, business challenges, and technical environment.
  • Afternoon: Meet with a customer to discuss their AI strategy and identify opportunities to leverage Snowflake's AI Data Cloud. Whiteboard potential solutions, answer technical questions, and provide guidance on best practices.
  • Late Afternoon: Collaborate with Snowflake's product and engineering teams to provide feedback on customer requirements and influence the roadmap for future AI/ML features.
  • Evening: Develop a blog post or presentation on a specific AI/ML topic to share your knowledge with the broader Snowflake community.

Why Menlo Park, CA?

Menlo Park is at the heart of Silicon Valley, a vibrant hub of innovation and technology. Being located in Menlo Park provides you with unparalleled access to industry events, networking opportunities, and a talented pool of AI/ML professionals. Snowflake's Menlo Park office offers a collaborative and inspiring work environment, where you'll be surrounded by passionate colleagues who are pushing the boundaries of what's possible with data and AI.

Career Path

Snowflake is committed to providing its employees with opportunities for growth and advancement. As a Senior AI/ML Architect, you can progress along several career paths, including:

  • Principal AI/ML Architect: Lead complex AI/ML projects and provide technical leadership to a team of architects.
  • AI/ML Practice Lead: Develop and execute Snowflake's AI/ML strategy for a specific industry or region.
  • AI/ML Product Manager: Define and prioritize the features and functionality of Snowflake's AI/ML Data Cloud.

Salary & Benefits

Snowflake offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for this position is typically between $160,000 and $280,000 per year, depending on experience and qualifications. In addition to salary, Snowflake offers a comprehensive benefits package that includes:

  • Health insurance (medical, dental, vision)
  • Paid time off and holidays
  • Employee stock purchase plan
  • 401(k) with company match
  • Life insurance and disability coverage
  • Flexible spending accounts
  • Employee assistance program

Innovation Culture

Snowflake is a company that embraces innovation and encourages its employees to challenge the status quo. We are constantly pushing the boundaries of what's possible with data and AI, and we are looking for people who share our passion for innovation. At Snowflake, you'll have the opportunity to work on cutting-edge technologies, collaborate with some of the brightest minds in the industry, and make a real impact on the world.

How to Apply

If you are a passionate and experienced AI/ML professional who is looking for a challenging and rewarding career, we encourage you to apply for the Senior AI/ML Architect position at Snowflake. To apply, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

FAQ

  1. What is Snowflake's AI Data Cloud? Snowflake's AI Data Cloud is a unified platform that enables organizations to store, process, and analyze all of their data, including structured, semi-structured, and unstructured data. It also provides a rich set of AI/ML tools and services that enable organizations to build and deploy AI-powered applications.
  2. What are the key features of Snowflake's AI Data Cloud? Key features include: scalable storage and compute, support for various data formats, a rich set of AI/ML tools and services, and integration with popular AI/ML frameworks.
  3. What types of AI/ML solutions can be built on Snowflake? A wide range of AI/ML solutions can be built on Snowflake, including: fraud detection, customer churn prediction, personalized recommendations, and natural language processing.
  4. What is the role of the Senior AI/ML Architect? The Senior AI/ML Architect is responsible for designing, architecting, and implementing AI/ML solutions for Snowflake's customers.
  5. What skills and experience are required for this role? The ideal candidate will have 5+ years of experience in building and deploying machine learning and generative AI solutions in the cloud, strong programming skills (Python), and experience with data engineering tools and technologies.
  6. What is the career path for this role? As a Senior AI/ML Architect, you can progress along several career paths, including: Principal AI/ML Architect, AI/ML Practice Lead, and AI/ML Product Manager.
  7. What is the salary range for this role? The salary range for this position is typically between $160,000 and $280,000 per year, depending on experience and qualifications.
  8. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package that includes health insurance, paid time off, employee stock purchase plan, 401(k), and more.
  9. What is Snowflake's culture like? Snowflake has a collaborative and innovative culture, where employees are encouraged to challenge the status quo and push the boundaries of what's possible.
  10. How do I apply for this role? To apply, please submit your resume and cover letter through our online application portal.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

160,000 - 280,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningintermediate
  • Generative AIintermediate
  • Cloud Computingintermediate
  • Pythonintermediate
  • LangChainintermediate
  • pandasintermediate
  • sklearnintermediate
  • PyTorchintermediate
  • Data Engineeringintermediate
  • dbtintermediate
  • Airflowintermediate
  • Sparkintermediate
  • Presentation Skillsintermediate
  • Whiteboardingintermediate
  • Demo Deliveryintermediate
  • Prompt Engineeringintermediate
  • Fine-tuningintermediate
  • RAGintermediate

Required Qualifications

  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
  • Familiarity with generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning. (experience)
  • Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, and PyTorch). (experience)
  • Experience with data engineering tools and technologies like dbt, Airflow, and Spark. (experience)
  • Strong presentation skills to technical and executive audiences. (experience)
  • Bachelor’s Degree required, Masters Degree preferred in computer science, engineering, mathematics, or related fields. (experience)
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex. (experience)
  • Experience with large-scale infrastructure-as-a-service platforms (AWS, Microsoft Azure, GCP). (experience)
  • 1+ years of practical Snowflake experience (Bonus). (experience)
  • Knowledge of large-scale database technology (Snowflake, Netezza, Exadata, Teradata, Greenplum) (Bonus). (experience)

Responsibilities

  • Serve as the technical expert for Snowflake’s AI and ML features to technical stakeholders.
  • Partner with account teams to scope and drive POCs to success.
  • Prove the value of Snowflake’s capabilities through executive readouts and business value cases.
  • Collaborate with product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
  • Publish content (blog posts, presentations, technical collateral) to scale team and company knowledge.
  • Influence, tailor, and maintain Sales Engineering AI and ML selling assets.
  • Developing and delivering compelling presentations and demonstrations of Snowflake's AI/ML capabilities.
  • Creating and maintaining customer stories and references.
  • Staying up-to-date with the latest advancements in AI/ML and Snowflake's offerings.
  • Providing technical guidance and support to Snowflake's sales and marketing teams.
  • Participating in industry events and conferences to promote Snowflake's AI/ML solutions.
  • Contributing to the development of Snowflake's AI/ML strategy and roadmap.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on cutting-edge AI/ML technologies.
  • general: Chance to make a significant impact on Snowflake's growth.
  • general: Collaborative and supportive work environment.
  • general: Professional development opportunities.
  • general: Health insurance (medical, dental, vision).
  • general: Paid time off and holidays.
  • general: Employee stock purchase plan.
  • general: 401(k) with company match.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts.
  • general: Employee assistance program.

Target Your Resume for "High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMLCloudDataArchitectMenlo ParkCaliforniaAI ArchitectML ArchitectArtificial IntelligenceMachine LearningGenerative AICloud ComputingData ScienceData EngineeringSnowflakeAI Data CloudCareerJobHiringPythonLangChaindbtAirflowSparkPOCTechnical SalesSolution EngineeringPrompt EngineeringFine-tuningRAGCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for High-CTR: Senior AI/ML Architect Careers at Snowflake - Menlo Park, CA | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.