Principal Solutions Architect - AI/ML - Services Delivery
Snowflake · Remote · US-NC-Remote ·
COMPENSATION
$160k – $210k
Listed on the employer's job board (Ashby)
- Principal level role
- Fully remote
- AI/ML architecture focus
- Python + SQL required
- Cloud platform experience
Join the Services Delivery team to help clients transition AI/ML projects from ideation to production using Snowflake’s native features and partner ecosystem. You will act as a technical expert, advising on best practices for scaling workloads and ensuring successful implementation through close collaboration with customer teams and systems integrators.
What you'll do
- Architect Snowflake-centric AI/ML solutions based on customer use cases and requirements
- Build proofs of concept using SQL, Python, and Cortex AI to demonstrate best practices
- Advise clients on scaling production-ready workloads and leveraging the partner ecosystem
- Provide technical leadership to resolve customer-specific challenges and ensure knowledge transfer
- Collaborate with Product Management and Engineering to improve Snowflake offerings
- Mentor Services Delivery team members to develop their technical expertise
- Maintain deep understanding of competitive AI/ML technologies and positioning strategies
What you'll need
- Minimum 5 years of experience in pre-sales or post-sales technical roles with customers
- Strong ability to present to both technical and executive audiences effectively
- Thorough understanding of generative AI lifecycles, including vector embedding and LLM optimization
- Deep knowledge of the complete ML lifecycle from feature engineering to model management
- Experience with AI/MLOps methodologies for deploying and monitoring models and agents
- Proficiency in at least one public cloud platform such as AWS, Azure, or GCP
- Hands-on scripting experience with SQL and Python, Java, or Scala
- Familiarity with libraries like Pandas, PyTorch, TensorFlow, or LangChain
- University degree in computer science, data science, or related field, or equivalent experience
Nice to have
- Experience with Databricks or Apache Spark
- Background in implementing data pipelines using ETL tools
- Proven track record in enterprise software environments
- Vertical expertise in sectors like FSI, Retail, or Manufacturing
Stack
- Snowflake
- Cortex AI
- SQL
- Python
- AWS
- Azure
- GCP
- Pandas
- PyTorch
- TensorFlow
- LangChain
- Databricks
How you'll work
- Fully remote position
- Global availability implied by worldwide board context