Senior AI/ML Architect – Applied Field Engineering

This is a fully remote position, open to applicants in Texas.

📋 Description

• Deliver practical AI expertise and support to technical decision-makers and data scientists.

• Design and architect AI solutions utilizing the Snowflake AI Data Cloud.

• Act as the technical authority promoting Snowflake’s AI and ML capabilities and benefits to customer technical stakeholders throughout the Americas.

• Collaborate with Snowflake account teams and customer advocates to define and drive proofs of concept towards successful technical outcomes.

• Present executive summaries and business value propositions.

• Work alongside product and engineering teams to shape AI and ML roadmaps informed by customer insights.

• Create scalable content, including blog articles, conference presentations, notebooks, and demonstrations.

• Influence, customize, and sustain Sales Engineering AI and ML sales resources, such as customer presentations, demonstrations, and case studies.

• Collaborate with cross-functional teams and the wider field organization to ensure effective implementation and customer adoption of Snowflake AI and ML solutions.

⛳️ Requirements

• Over 5 years of experience in developing and deploying machine learning and generative AI solutions in cloud environments.

• Familiarity with generative AI methodologies, including RAG, few-shot learning, prompt engineering, and fine-tuning.

• Expertise in operationalizing enterprise AI applications, such as interactive chat systems and text processing.

• Strong proficiency in Python and popular ML libraries including LangChain, pandas, sklearn, and PyTorch.

• Familiarity with data engineering tools and technologies such as dbt, Airflow, and Spark.

• Excellent presentation skills suitable for both technical and executive audiences.

• A Bachelor’s Degree is required.

• A Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent experience is preferred.

• Practical knowledge of LLM ecosystem tools like LangChain, LlamaIndex, or other open-source packages.

• Experience with large-scale infrastructure-as-a-service platforms such as AWS, Microsoft Azure, or GCP.

• At least 1 year of hands-on experience with Snowflake.

• Familiarity with large-scale database technologies such as Snowflake, Netezza, Exadata, Teradata, or Greenplum.

🏝️ Benefits

• Salary range of $165,000–$216,562.

• Salary and benefits details can be found on the Snowflake Careers Site.

• Work-from-home arrangement available.