Why This Job is Featured on The SaaS Jobs
This Technical Architect AI/ML role sits at the intersection of cloud data platforms and applied machine learning, a core seam in today’s SaaS landscape. The remit is oriented around taking AI and ML workloads from concept through deployment on Snowflake, while navigating the surrounding ecosystem of partner tools, clouds, and integration patterns. That combination reflects where many SaaS products are heading as data infrastructure and AI capabilities converge into a single delivery surface.
From a SaaS career perspective, the work builds depth in end to end solution architecture for production ML, including pipeline design, MLOps considerations, and pragmatic proof of concept development. It also strengthens the ability to translate requirements across stakeholders, document and transfer knowledge, and develop repeatable implementation approaches, all competencies that carry across platform, data, and AI focused SaaS companies.
The role is best suited to practitioners who enjoy hands on technical delivery alongside advisory responsibilities, and who are comfortable operating in customer facing environments. It will appeal to architects or senior engineers who want their AI and cloud experience to be grounded in real deployment constraints, and who value keeping current across competitive and complementary technologies in the AI tooling space.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are looking for people who have a strong background in data science and cloud architecture to join our AI/ML Workload Services team to create exciting new offerings and capabilities for our customers! This team within the Services Delivery group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators.
AS A TECHNICAL ARCHITECT, AI/ML AT SNOWFLAKE, YOU WILL:
Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload
Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements
Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads
Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
Provide guidance on how to resolve customer-specific technical challenges
Support other members of the Services Delivery team develop their expertise
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Ability and flexibility to travel to work with customers on-site 25% of the time
OUR IDEAL TECHNICAL ARCHITECT, AI/ML WILL HAVE:
Minimum 10 years experience working with customers in a pre-sales or post-sales technical role
Skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models
Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
Experience with at least one Data Science tool such as Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, and Jupyter Notebooks
Experience with Large Language Models, Retrieval and Agentic frameworks
Hands-on scripting experience with SQL and at least one of the following; Python, R, Java or Scala.
Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
BONUS POINTS FOR HAVING:
Experience with Generative AI, LLMs and Vector Databases.
Experience with Databricks/Apache Spark, including PySpark
Experience implementing data pipelines using ETL tools
Experience working in a Data Science role
Proven success at enterprise software
Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc
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.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
