Senior AI/ML Platform Architect — Equity Eligible

Snowflake

United States

On-site

USD 128,000 - 168,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision insurance

401(k) retirement plan

Paid holidays

Parental leave

Job summary

Snowflake is seeking a Senior Technical Architect for its Services Delivery team to own the technical delivery and outcomes of complex, high-priority engagements, shaping how customers leverage Snowflake to transform their business.

You will lead architecture decisions, define platform roadmaps, and champion MLOps while driving adoption of Snowflake AI products. Mentor junior architects and contribute reusable patterns for the broader organization.

Qualifications

BA/BS in CS, engineering, mathematics, or related field, or equivalent practical experience.
8+ years in solutions architecture or senior technical roles.
Demonstrated track record leading architecture on enterprise data/AI platforms.
Deep hands-on Snowflake production experience, including data modeling and governance.
Proficiency in SQL and Python; able to produce production‑grade code.
Strong AI/ML lifecycle understanding from data prep to deployment.
Experience influencing senior stakeholders.

Responsibilities

Lead customer engagements as primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations.
Define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives.
Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies.
Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues.
Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance, and lifecycle management.
Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery.
Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams.
Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction.
Mentor and provide technical direction to junior architects and consultants within engagements.
Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization.