AI Specialist - Machine Learning and AI

Join the Snowflake Team as an AI Specialist

Snowflake is seeking an AI Specialist focused on Machine Learning and AI to join our Sales Engineering organization. This role involves providing hands-on expertise and support while working with technical decision-makers in the design and architecture of AI solutions that utilize Snowflake as an AI platform.

Key Responsibilities

Collaborate with sales teams to support customers in the initial adoption of AI and ML features.
Serve as the technical expert to present and position Snowflake’s AI and ML features to technical stakeholders.
Publish thought leadership content, such as blog posts and presentations at conferences, to advance Snowflake’s strategic initiatives around AI.
Enable and uplevel other sales engineers and solution architects in AI and ML.
Work closely with product teams to influence Snowflake’s roadmaps based on customer feedback.
Collaborate with the Global FCTO, sales, and marketing teams on field effectiveness and competitiveness of sales campaigns and messaging.
Develop and maintain Sales Engineering AI/ML selling assets, including customer presentations, demonstrations, and customer stories.

Required Qualifications

Minimum 5 years of experience in a pre-sales or post-sales technical role involving AI/ML.
Familiarity with cloud-native ML and AI tools such as Sagemaker, AzureML, and VertexAI.
Experience with techniques like few-shot prompt engineering, RAG, and search and retrieval techniques.
Proficiency in Python and popular third-party packages (Pandas, Numpy, Tensorflow, sklearn, Pytorch).
Strong knowledge of data engineering tools and technologies (dbt, Airflow, Spark).
Experience with SQL and data engineering strategies (e.g., Data lake, warehouse, lakehouse, streaming).
Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow).
Strong presentation skills to both technical and executive audiences.
Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics, or related fields preferred.

Bonus Points

Experience with tools in the LLM ecosystem such as langchain, llama index, NeMo-Guard.
Understanding of large-scale infrastructure-as-a-service platforms (e.g., Amazon AWS, Microsoft Azure, GCP).
Practical experience with Snowflake.
Knowledge of large-scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum).

Compensation and Benefits

The expected range of compensation for this role is $203,800 - $283,500 annually.
This role is eligible for Snowflake's commission and equity plans.
Competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; parental leave; and employee assistance program.

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?

Benefits
Extracted with AI

401(k)
Disability insurance
Medical insurance
Dental insurance
Vision insurance
Life insurance
Flexible spending account
Health savings account
Paid time off
Parental leave
Employee assistance program

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