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

Responsibilities

• Serve as the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customer organizations across the APJ region.
• Partner with account teams and customer champions to scope and drive proof-of-concepts to successful technical wins, including executive readouts and business value cases.
• Collaborate with product and engineering teams to influence AI and ML roadmaps based on customer feedback.
• Publish scalable content such as blog posts, conference presentations, technical collateral, notebooks, and demos.
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
• Help customers across the APJ region adopt AI and ML use cases on Snowflake.

Requirements

• 10+ years of experience building and deploying machine learning solutions.
• 3+ years of experience building and deploying generative AI solutions in the cloud.
• Practitioner-level hands-on experience with machine learning workloads, including MLOps, feature stores, model deployment, model explainability, and observability.
• Familiarity with generative AI techniques such as retrieval-augmented generation (RAG), few-shot learning, prompt engineering, and fine-tuning.
• Experience operationalizing enterprise AI use cases such as interactive chat applications and text processing.
• Deep knowledge of Python and common machine learning packages, including LangChain, pandas, scikit-learn, and PyTorch.
• Experience with data engineering tools and technologies such as dbt, Airflow, and Spark.
• Strong presentation skills for technical and executive audiences, including whiteboarding sessions, formal readouts, and demos.
• Bachelor’s degree required; a master’s degree in computer science, engineering, mathematics, or a related field, or equivalent experience, preferred.

Nice-to-haves

• Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other open-source packages.
• Experience with large-scale infrastructure-as-a-service platforms such as AWS, Microsoft Azure, or Google Cloud.
• At least 1 year of practical Snowflake experience.
• Knowledge of large-scale database technologies such as Snowflake, Netezza, Exadata, Teradata, or Greenplum.
• Previous experience in quota-carrying roles.