Senior AI/ML Architect, Applied Field Engineering/Field CTO

Snowflake
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Presentation skills","Customer collaboration","Cross-functional collaboration","Strategic thinking","Experimental mindset"]

Serve as a senior AI/ML technical expert for Snowflake’s customers across APJ, positioning Snowflake’s AI/ML value and designing solutions on the Snowflake AI Data Cloud. Partner with account teams to scope and drive POCs, influence product and engineering roadmaps through customer feedback, and help sales adoption by tailoring AI/ML selling assets, demos, and customer stories. Publish technical content to scale impact beyond individual execution.

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Snowflake
Snowflake
1 month ago

Senior AI/ML Architect, Applied Field Engineering/Field CTO

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Serve as a senior AI/ML technical expert for Snowflake’s customers across APJ, positioning Snowflake’s AI/ML value and designing solutions on the Snowflake AI Data Cloud. Partner with account teams to scope and drive POCs, influence product and engineering roadmaps through customer feedback, and help sales adoption by tailoring AI/ML selling assets, demos, and customer stories. Publish technical content to scale impact beyond individual execution.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Position Snowflake’s AI and ML features and value for technical stakeholders at customers across the APJ region.
  • •Scope and drive POCs with account teams and customer champions to deliver technical wins and business value cases.
  • •Collaborate with product and engineering teams to influence Snowflake’s AI/ML roadmaps based on customer feedback.
  • •Publish technical content (e.g., blog posts, conference presentations, notebooks, demos) to scale beyond individual efforts.
  • •Tailor and maintain Sales Engineering AI/ML selling assets, including customer presentations, demonstrations, and customer stories; support customer adoption of AI/ML use cases on Snowflake.

Key Requirements

  • •10+ years building and deploying machine learning and 3+ years building and deploying generative AI solutions in the cloud.
  • •Hands-on experience with machine learning workloads including MLOps, feature store, model deployment, explainability, and observability.
  • •Familiarity with generative AI techniques such as RAG, few-shot learning, prompt engineering, and/or fine-tuning for operational enterprise AI use cases.
  • •Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, PyTorch) plus data engineering tools and technologies (dbt, Airflow, Spark).
  • •Bachelor’s degree required; master’s in computer science, engineering, mathematics, or related fields (or equivalent experience) preferred.
Experience:10+ yearsMachine learningGenerative AIMLOps
Education:Bachelor's in computer science, engineering, mathematics or related fields
Skills:Presentation skillsCustomer collaborationCross-functional collaborationStrategic thinkingExperimental mindset
Tech Stack:PythonLangChainPandasSklearnPyTorchDbtAirflowSparkRAGFew shot learningPrompt engineeringFine-tuningLlamaIndexMLOpsFeature StoreModel DeploymentModel ExplainabilityModel ObservabilityLLM ecosystem

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn