Why This Job is Featured on The SaaS Jobs
This Sales Solution Architect role sits at the intersection of two major SaaS currents: cloud data platforms and production AI. Positioned within a Services Delivery function focused on AI and ML workloads, it reflects how modern SaaS adoption increasingly depends on turning platform capabilities into working pipelines, not just running proofs of concept. The emphasis on partner tooling and customer environments also highlights the ecosystem reality of enterprise SaaS implementations.
For a long-term SaaS career, the work builds durable leverage across solution design, workload architecture, and technical stakeholder management. Hands-on delivery using SQL, Python, APIs, and MLOps concepts maps closely to how SaaS vendors drive expansion and retention through successful deployments. Exposure to competitive and complementary technologies further strengthens product-adjacent judgment that transfers across data, infrastructure, and AI-focused SaaS companies.
This role is best suited to professionals who enjoy translating ambiguous requirements into deployable architectures and can move comfortably between engineering details and executive-level communication. It will appeal to those who prefer customer-facing problem solving with measurable outcomes, and who value structured knowledge transfer so teams can operate independently after delivery.
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 SOLUTIONS 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 SOLUTION 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 Notebook
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
