Snowflake Solution Architect AI/ML

  • Posted 10 hours ago | Updated 10 hours ago

Overview

Remote
$140,000 - $160,000
Full Time

Skills

Artificial Intelligence
Generative Artificial Intelligence (AI)
IT Management
Leadership
Machine Learning (ML)
Professional Services
Snow Flake Schema

Job Details

Snowflake Solution Architect AI/ML
SENIOR SOLUTIONS ARCHITECT
Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Senior Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology.
AS A SNOWFLAKE SENIOR SOLUTIONS ARCHITECT, YOU WILL:
Directly engage with customers individually or as part of a technical delivery team
Oversee and advise on the implementation of the customers Snowflake platform
Demonstrate technical leadership through personally developed code, solution architectures and implementation recommendations
Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches
Extract business requirements from customers and translate them into a well-architected recommendation
Develop and provide forward looking guidance and future state roadmaps
Leverage known best practices and solutions to reduce risk to customer implementations
Decompose future state goals into actionable execution plans
Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals
Specific AI/ML Expertise:
General enablement on Cortex functionality and features (Cortex Search, Cortex Analyst, DocAI, etc.)
Knowledgeable on when to use Cortex search, decision matrix, etc. to frame the customer's decisions
Knowledgeable on GenAI capabilities - Given a problem, what is the best ways to resolve it
RAG, how embeddings work, DocAI, how to do good setup to ensure your ML model is strong
Understands strengths and weaknesses of Cortex
Foundational AI/ML understandings with the ability to dive deeper into further functionalities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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