Solutions Architect
Core
Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform while advising customers on data and AI strategies.
Role type
Senior Solutions Architect (AI/ML & Data)
Builds
Scalable AI/ML workloads, MLOps pipelines, and customer data platform roadmaps on Snowflake
Domain
Data & AI/ML on Cloud Platforms
Deliverable
production ML models | product features | client delivery
Required skills
Snowflake platform expertise, AI/ML lifecycle management, MLOps, SQL, Python, large-scale database technology, data security design, generative AI/LLM use cases, prompt engineering
Preferred skills
Cloud certifications (AWS/GCP/Azure), Snowflake Snowpro Advanced, application development, leadership in services organizations
Technologies
Snowflake, SQL, Python, Spark, AWS, Google Cloud, Microsoft Azure
Responsibilities
Engage with customers as a trusted advisor to extract business requirements and translate them into well-architected recommendations; Design and implement end-to-end AI/ML solutions ensuring scalability and performance; Define and advise on MLOps standard practices for model deployment and governance; Drive adoption of Snowflake's AI product suite (Cortex, Streamlit, Intelligence); Oversee implementation of customer Snowflake platforms; Collaborate with Go-to-Market and product teams to align customer solutions with Snowflake goals
Seniority
Senior, hands-on IC with advisory responsibilities