Technical Architect AI/ML
$150,000–$200,000 year
On-siteMumbai, Maharashtra, India
Job Summary
Design and deploy ML pipelines using Snowflake features and partner tools based on customer requirements. Build POCs with SQL, Python, and APIs to demonstrate GenAI and ML implementation techniques. Resolve customer-specific technical challenges and guide System Integrator consultants on deep technical deployments. Coordinate with customer teams to expand their Data Cloud usage from ideation to deployment while ensuring knowledge transfer. Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products. Maintain competitive technology awareness and position Snowflake against complementary vendors. Travel 25% of the time to work on-site with customers.
Required Qualifications
- 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
- Ability and flexibility to travel to work with customers on-site 25% of the time
Desired Qualifications
- 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
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