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Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

Snowflake

Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

full-timePosted: Jan 23, 2026

Job Description

Principal AI/ML Solution Engineer at Snowflake: Revolutionizing Data in Healthcare

Are you a seasoned data engineering professional with a passion for AI/ML and a desire to shape the future of data solutions in the healthcare and life sciences industries? Snowflake is seeking a Principal AI/ML Solution Engineer to join our dynamic Solutions Engineering team. In this role, you'll be at the forefront of empowering enterprises to unlock their full potential through the Snowflake Cloud Data Platform. If you're ready to make a significant impact, innovate relentlessly, and collaborate with top-tier talent, Snowflake is the place to take your career to the next level.

Role Overview

As a Principal AI/ML Solution Engineer, you will be a trusted advisor to both technical and business executives, guiding them in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture. Your expertise in AI/ML technologies, combined with your deep understanding of the healthcare and life sciences sector, will enable you to provide invaluable technical guidance and strategic insights.

You will work closely with the sales and solution engineering teams, engaging directly with customers to understand their unique AI/ML needs, strategize winning sales cycles, deliver compelling value-based demonstrations, and support enterprise Proof of Concepts. Your ability to translate complex technical concepts into clear, concise presentations for both technical and executive audiences will be crucial in driving business growth and customer success.

A Day in the Life

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

  • Morning: Start your day by reviewing the latest industry trends and competitive landscape in the AI/ML space. Prepare for a customer meeting by researching their specific business challenges and identifying opportunities for Snowflake solutions.
  • Mid-day: Conduct a workshop with a prospective customer, demonstrating the value of Snowflake's AI/ML capabilities through a customized demo. Engage in a deep dive into their existing data architecture and identify areas for optimization and improvement.
  • Afternoon: Collaborate with the product management and engineering teams to provide feedback on new features and enhancements. Work on a proof of concept (POC) to showcase Snowflake's ability to solve a specific customer problem.
  • Evening: Prepare a presentation for an upcoming industry conference, highlighting Snowflake's innovative solutions for the healthcare and life sciences sector. Catch up on emails and respond to inquiries from internal stakeholders and customers.

Why New York City?

While this role is remote-friendly, being based in or near New York City offers several advantages:

  • Hub for Healthcare and Life Sciences: NYC is a major hub for healthcare and life sciences companies, providing ample opportunities to engage with key industry players.
  • Networking Opportunities: The city hosts numerous industry events, conferences, and meetups, allowing you to expand your professional network and stay abreast of the latest trends.
  • Access to Talent: NYC boasts a diverse and highly skilled talent pool, making it easier to collaborate with top-tier professionals in the field.

Career Path

Snowflake is committed to fostering the growth and development of its employees. As a Principal AI/ML Solution Engineer, you'll have opportunities to advance your career in several directions:

  • Technical Leadership: Become a recognized expert in AI/ML solutions, leading technical initiatives and mentoring junior team members.
  • Sales Leadership: Transition into a sales leadership role, managing a team of solution engineers and driving revenue growth.
  • Product Management: Leverage your customer insights and technical expertise to influence the development of new Snowflake products and features.

Salary and Benefits

Snowflake offers a competitive salary and benefits package that includes:

  • Competitive Salary: We offer salaries competitive with other leading tech companies, commensurate with experience and location.
  • Comprehensive Health Insurance: Medical, dental, and vision coverage for you and your family.
  • Generous Paid Time Off: Flexible vacation policy to ensure you have time to recharge.
  • Retirement Savings Plan: 401(k) plan with company match to help you save for the future.
  • Employee Stock Options: Opportunity to own a piece of Snowflake and share in our success.
  • Professional Development: Access to training programs, conferences, and certifications to enhance your skills and knowledge.
  • Wellness Programs: Resources and support to help you maintain your physical and mental well-being.
  • Family Support: Parental leave, childcare assistance, and other benefits to support your family needs.
  • Flexible Work Arrangements: Remote work options and flexible hours to help you balance your work and personal life.
  • Employee Assistance Program: Confidential counseling and support services for employees and their families.
  • Commuter Benefits: Pre-tax transportation benefits to help you save money on your commute.
  • Life and Disability Insurance: Coverage to protect you and your family in case of unforeseen circumstances.

Innovation Culture

At Snowflake, we foster a culture of innovation, collaboration, and continuous learning. We encourage employees to challenge the status quo, experiment with new ideas, and push the boundaries of what's possible. You'll be surrounded by talented and passionate individuals who are committed to making a difference in the world of data.

How to Apply

If you're ready to join a fast-growing company that is revolutionizing the way organizations use data, we encourage you to apply for the Principal AI/ML Solution Engineer position at Snowflake. Please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is Snowflake's mission?

    Snowflake’s mission is to enable every organization to be data-driven.

  2. What are the core values of Snowflake?

    Our core values are: Customer First, Integrity, Innovation, Collaboration, and Inclusion.

  3. What is the Snowflake Cloud Data Platform?

    The Snowflake Cloud Data Platform is a fully managed service that enables organizations to store, process, and analyze data in the cloud.

  4. What are the key benefits of using Snowflake?

    Key benefits include: scalability, performance, security, and cost-effectiveness.

  5. What types of organizations use Snowflake?

    Snowflake is used by organizations of all sizes, across a wide range of industries, including healthcare, finance, retail, and technology.

  6. What is the interview process like at Snowflake?

    The interview process typically involves a phone screening, technical interview, and on-site interview with members of the team.

  7. What are the opportunities for professional growth at Snowflake?

    Snowflake offers numerous opportunities for professional growth, including training programs, mentorship opportunities, and career advancement paths.

  8. What is the work-life balance like at Snowflake?

    Snowflake is committed to providing a supportive work environment that enables employees to balance their work and personal lives.

  9. What is the company culture like at Snowflake?

    Snowflake fosters a culture of innovation, collaboration, and continuous learning.

  10. What are some of the challenges facing the data industry today?

    Some of the key challenges include: data security, data privacy, and the increasing volume and complexity of data.

Locations

  • New York City, NY, US (Remote)

Salary

0

Skills Required

  • AI/MLintermediate
  • Data Engineeringintermediate
  • Cloud Data Platformintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Data Architectureintermediate
  • Presentation Skillsintermediate
  • Customer Engagementintermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (experience)
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions (experience)
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture (experience)
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (experience)
  • Hands-on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies (experience)
  • Deep experience in AI/ML tools, services and architectures in the enterprise technology space (experience)
  • Clear understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica (experience)
  • Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) (experience)

Responsibilities

  • Apply multi-cloud data architecture and AI/ML expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • 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, in support of our customer-aligned solution engineers
  • Maintain 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 around AI/ML features and capabilities
  • Provide AI/ML technical guidance
  • Work with technical and business executives in the design and architecture of the Snowflake Cloud Data Platform
  • Strategize on how to navigate winning sales cycles
  • Provide compelling value-based demonstrations
  • Support enterprise Proof of Concepts
  • Close business
  • Leverage technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Interact with executives and technical audiences

Benefits

  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Retirement savings plan
  • general: Employee stock options
  • general: Professional development opportunities
  • general: Wellness programs
  • general: Family support benefits
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Commuter benefits
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!" , Snowflake

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Tags & Categories

AI/MLSolution EngineeringData EngineeringCloudNew YorkSnowflakeSolution EngineerCloud Data PlatformHealthcareLife SciencesData ArchitectureData LakeData MeshETLELTSQLPythonSparkData WarehouseNew York CityRemote JobData IntegrationData AnalyticsMachine LearningBig DataCloud ComputingCareerJobCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now! @ Snowflake.

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Snowflake logo

Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

Snowflake

Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!

full-timePosted: Jan 23, 2026

Job Description

Principal AI/ML Solution Engineer at Snowflake: Revolutionizing Data in Healthcare

Are you a seasoned data engineering professional with a passion for AI/ML and a desire to shape the future of data solutions in the healthcare and life sciences industries? Snowflake is seeking a Principal AI/ML Solution Engineer to join our dynamic Solutions Engineering team. In this role, you'll be at the forefront of empowering enterprises to unlock their full potential through the Snowflake Cloud Data Platform. If you're ready to make a significant impact, innovate relentlessly, and collaborate with top-tier talent, Snowflake is the place to take your career to the next level.

Role Overview

As a Principal AI/ML Solution Engineer, you will be a trusted advisor to both technical and business executives, guiding them in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture. Your expertise in AI/ML technologies, combined with your deep understanding of the healthcare and life sciences sector, will enable you to provide invaluable technical guidance and strategic insights.

You will work closely with the sales and solution engineering teams, engaging directly with customers to understand their unique AI/ML needs, strategize winning sales cycles, deliver compelling value-based demonstrations, and support enterprise Proof of Concepts. Your ability to translate complex technical concepts into clear, concise presentations for both technical and executive audiences will be crucial in driving business growth and customer success.

A Day in the Life

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

  • Morning: Start your day by reviewing the latest industry trends and competitive landscape in the AI/ML space. Prepare for a customer meeting by researching their specific business challenges and identifying opportunities for Snowflake solutions.
  • Mid-day: Conduct a workshop with a prospective customer, demonstrating the value of Snowflake's AI/ML capabilities through a customized demo. Engage in a deep dive into their existing data architecture and identify areas for optimization and improvement.
  • Afternoon: Collaborate with the product management and engineering teams to provide feedback on new features and enhancements. Work on a proof of concept (POC) to showcase Snowflake's ability to solve a specific customer problem.
  • Evening: Prepare a presentation for an upcoming industry conference, highlighting Snowflake's innovative solutions for the healthcare and life sciences sector. Catch up on emails and respond to inquiries from internal stakeholders and customers.

Why New York City?

While this role is remote-friendly, being based in or near New York City offers several advantages:

  • Hub for Healthcare and Life Sciences: NYC is a major hub for healthcare and life sciences companies, providing ample opportunities to engage with key industry players.
  • Networking Opportunities: The city hosts numerous industry events, conferences, and meetups, allowing you to expand your professional network and stay abreast of the latest trends.
  • Access to Talent: NYC boasts a diverse and highly skilled talent pool, making it easier to collaborate with top-tier professionals in the field.

Career Path

Snowflake is committed to fostering the growth and development of its employees. As a Principal AI/ML Solution Engineer, you'll have opportunities to advance your career in several directions:

  • Technical Leadership: Become a recognized expert in AI/ML solutions, leading technical initiatives and mentoring junior team members.
  • Sales Leadership: Transition into a sales leadership role, managing a team of solution engineers and driving revenue growth.
  • Product Management: Leverage your customer insights and technical expertise to influence the development of new Snowflake products and features.

Salary and Benefits

Snowflake offers a competitive salary and benefits package that includes:

  • Competitive Salary: We offer salaries competitive with other leading tech companies, commensurate with experience and location.
  • Comprehensive Health Insurance: Medical, dental, and vision coverage for you and your family.
  • Generous Paid Time Off: Flexible vacation policy to ensure you have time to recharge.
  • Retirement Savings Plan: 401(k) plan with company match to help you save for the future.
  • Employee Stock Options: Opportunity to own a piece of Snowflake and share in our success.
  • Professional Development: Access to training programs, conferences, and certifications to enhance your skills and knowledge.
  • Wellness Programs: Resources and support to help you maintain your physical and mental well-being.
  • Family Support: Parental leave, childcare assistance, and other benefits to support your family needs.
  • Flexible Work Arrangements: Remote work options and flexible hours to help you balance your work and personal life.
  • Employee Assistance Program: Confidential counseling and support services for employees and their families.
  • Commuter Benefits: Pre-tax transportation benefits to help you save money on your commute.
  • Life and Disability Insurance: Coverage to protect you and your family in case of unforeseen circumstances.

Innovation Culture

At Snowflake, we foster a culture of innovation, collaboration, and continuous learning. We encourage employees to challenge the status quo, experiment with new ideas, and push the boundaries of what's possible. You'll be surrounded by talented and passionate individuals who are committed to making a difference in the world of data.

How to Apply

If you're ready to join a fast-growing company that is revolutionizing the way organizations use data, we encourage you to apply for the Principal AI/ML Solution Engineer position at Snowflake. Please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

Frequently Asked Questions (FAQ)

  1. What is Snowflake's mission?

    Snowflake’s mission is to enable every organization to be data-driven.

  2. What are the core values of Snowflake?

    Our core values are: Customer First, Integrity, Innovation, Collaboration, and Inclusion.

  3. What is the Snowflake Cloud Data Platform?

    The Snowflake Cloud Data Platform is a fully managed service that enables organizations to store, process, and analyze data in the cloud.

  4. What are the key benefits of using Snowflake?

    Key benefits include: scalability, performance, security, and cost-effectiveness.

  5. What types of organizations use Snowflake?

    Snowflake is used by organizations of all sizes, across a wide range of industries, including healthcare, finance, retail, and technology.

  6. What is the interview process like at Snowflake?

    The interview process typically involves a phone screening, technical interview, and on-site interview with members of the team.

  7. What are the opportunities for professional growth at Snowflake?

    Snowflake offers numerous opportunities for professional growth, including training programs, mentorship opportunities, and career advancement paths.

  8. What is the work-life balance like at Snowflake?

    Snowflake is committed to providing a supportive work environment that enables employees to balance their work and personal lives.

  9. What is the company culture like at Snowflake?

    Snowflake fosters a culture of innovation, collaboration, and continuous learning.

  10. What are some of the challenges facing the data industry today?

    Some of the key challenges include: data security, data privacy, and the increasing volume and complexity of data.

Locations

  • New York City, NY, US (Remote)

Salary

0

Skills Required

  • AI/MLintermediate
  • Data Engineeringintermediate
  • Cloud Data Platformintermediate
  • SQLintermediate
  • Pythonintermediate
  • Pandasintermediate
  • Sparkintermediate
  • PySparkintermediate
  • Hadoopintermediate
  • Hiveintermediate
  • Data Lakeintermediate
  • Data Meshintermediate
  • Data Fabricintermediate
  • ETLintermediate
  • ELTintermediate
  • Apache NiFiintermediate
  • Matillionintermediate
  • Fivetranintermediate
  • Qlikintermediate
  • Informaticaintermediate
  • Kafkaintermediate
  • Flinkintermediate
  • Spark Streamingintermediate
  • Kinesisintermediate
  • Data Architectureintermediate
  • Presentation Skillsintermediate
  • Customer Engagementintermediate

Required Qualifications

  • 5-10+ years of data engineering experience within the Enterprise Data space (experience)
  • 5+ years experience working with AI/ML technologies (experience)
  • Outstanding presentation skills to both technical and executive audiences (experience)
  • Ability to connect a customer’s specific business problems and Snowflake’s solutions (experience)
  • Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture (experience)
  • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (experience)
  • Hands-on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies (experience)
  • Deep experience in AI/ML tools, services and architectures in the enterprise technology space (experience)
  • Clear understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica (experience)
  • Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) (experience)

Responsibilities

  • Apply multi-cloud data architecture and AI/ML expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • 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, in support of our customer-aligned solution engineers
  • Maintain 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 around AI/ML features and capabilities
  • Provide AI/ML technical guidance
  • Work with technical and business executives in the design and architecture of the Snowflake Cloud Data Platform
  • Strategize on how to navigate winning sales cycles
  • Provide compelling value-based demonstrations
  • Support enterprise Proof of Concepts
  • Close business
  • Leverage technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads
  • Interact with executives and technical audiences

Benefits

  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Retirement savings plan
  • general: Employee stock options
  • general: Professional development opportunities
  • general: Wellness programs
  • general: Family support benefits
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Commuter benefits
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now!. Takes only 15 seconds!

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

Check Your ATS Score for "Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | 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

AI/MLSolution EngineeringData EngineeringCloudNew YorkSnowflakeSolution EngineerCloud Data PlatformHealthcareLife SciencesData ArchitectureData LakeData MeshETLELTSQLPythonSparkData WarehouseNew York CityRemote JobData IntegrationData AnalyticsMachine LearningBig DataCloud ComputingCareerJobCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Principal AI/ML Solution Engineer Careers at Snowflake - New York City, NY | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.