Principal Solutions Architect - AI/ML, Services Delivery
Recruiter Fit Breakdown & Candid Summary
This is a high-level strategic role for an experienced architect who can bridge the gap between complex AI/ML engineering and executive-level business value.
The ideal candidate is a hands-on technical leader who can build POCs while simultaneously advising enterprise clients on scaling production workloads.
This role is not for pure researchers or those lacking customer-facing experience; it requires a blend of deep technical proficiency in MLOps and the ability to influence stakeholders.
Candidates must be comfortable with the full AI/ML lifecycle, from data ingestion to LLM optimization and agentic workflows.
Role Responsibilities
- 1Architect Snowflake-centric AI/ML solutions tailored to specific customer requirements.
- 2Develop POCs using SQL, Python, and Snowflake Cortex AI features.
- 3Advise customers on best practices for scaling production-ready AI/ML pipelines.
- 4Provide technical leadership and oversight for Services Delivery engagements.
- 5Collaborate with Product Management and Engineering to influence product roadmaps.
- 6Mentor internal team members on AI/ML technical expertise.
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
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