Technical Architect AI/ML

Snowflake; Mumbai; On-site; INR 350,000 - 800,000; Full time

Job summary

Snowflake seeks an AI/ML Technical Architect to join the AI/ML Workload Services team. You will design solutions, build ML pipelines using Snowflake features and partner tools, and work hands-on with SQL, Python, and APIs to create POCs for GenAI and ML workloads, coordinating with customer teams and Systems Integrators.

The role is highly technical and customer-facing, requiring the ability to transfer knowledge to enable customers to extend Snowflake capabilities.

Qualifications

• 10+ years in technical customer-facing roles (pre- or post-sales).
• Ability to present to technical and executive audiences, with demos or whiteboards.
• Strong DS lifecycle knowledge from feature engineering to deployment and management.
• Solid MLOps understanding and model deployment/monitoring knowledge.
• Experience with at least one cloud platform (AWS/Azure/GCP).
• Experience with DS tools like SageMaker, AzureML, Vertex, Dataiku, DataRobot, H2O, or Jupyter.
• Experience with LLMs, retrieval, and agentic frameworks.
• SQL plus Python/R/Java/Scala scripting ability.
• Experience with Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
• University degree in CS/Engineering/Math or equivalent.

Responsibilities

• Be a technical expert on Snowflake for AI/ML workloads.
• Build, deploy, and ML pipelines using Snowflake features and partner tools.
• Hands-on development with SQL, Python, and APIs to create POCs for GenAI/ML workloads.
• Transfer knowledge to customers to enable ongoing capability.
• Stay current on competitive AI/ML technologies and vendors.
• Collaborate with System Integrators to position and deploy Snowflake.
• Guide customers on resolving technical challenges.
• Support Services Delivery team in expanding expertise.
• Work with Product, Engineering, and Marketing to improve Snowflake offerings.
• Travel to customer sites ~25% of the time.

Skills

Customer-facing pre-sales/post-sales

Executive presentation

Data Science lifecycle

MLOps

Cloud platform experience (AWS/Azure/G

LLMs/Agentic frameworks

SQL + Python/R/Java/Scala scripting

Education

University degree in CS/Engineering/Math or equivalent

Tools

DS tools: SageMaker/AzureML/Vertex/Dataiku/DataRobot/H2O/Jupyter

Databricks / Apache Spark / PySpark

ETL tools experience

Pandas / PyTorch / TensorFlow / scikit-learn

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