Senior Technical Architect (AI/ML)

TL;DR

Senior Technical Architect (AI/ML): Leading the technical delivery and architecture of complex AI/ML solutions on the Snowflake platform with an accent on MLOps practices and scalable data strategies. Focus on translating ambiguous business problems into technical roadmaps, implementing end-to-end AI/ML lifecycles, and driving the adoption of Snowflake's AI product suite.

Location: Remote (US)

Salary: $128K – $168K

Company

Snowflake is a cloud data platform powering the era of the agentic enterprise through advanced data and AI capabilities.

What you will do

• Lead high-priority customer engagements as the primary technical authority for architectural decisions and measurable outcomes.
• Partner with customer executives to define platform strategies and long-term roadmaps aligned with business objectives.
• Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, security, and performance.
• Define and champion MLOps practices, including model deployment pipelines, monitoring, and governance frameworks.
• Drive the adoption of Snowflake's AI product suite, including Cortex, Streamlit, and Snowflake Intelligence.
• Mentor junior architects and develop reusable architecture patterns and delivery accelerators.

Requirements

• 8+ years of experience in solutions architecture, technical consulting, or data engineering.
• Deep hands-on experience implementing Snowflake in production environments, including data modeling and security design.
• Expert-level understanding of the full data analytics stack, from ETL pipelines to BI tooling.
• Strong grasp of the AI/ML lifecycle, including feature engineering, training, deployment, and monitoring.
• Proficiency in SQL and Python with the ability to review production-quality code.
• Must be based in the United States

Nice to have

• Hands-on experience with Generative AI and Large Language Model (LLM) use cases in production.
• Advanced certifications in AWS, Google Cloud, Microsoft Azure, or Snowflake SnowPro.
• Experience establishing architectural standards or scaling a Center of Excellence.
• Deep industry vertical expertise in Financial Services, Healthcare, or Media and Entertainment.

Culture & Benefits

• Work at the intersection of enterprise-scale data architecture and cutting-edge AI transformation.
• Environment that values an experimental mindset and the use of AI as a high-trust collaborator.
• High-impact role where architectural decisions shape how the world's largest companies run their data platforms.
• Collaborative culture with low-ego individuals in a dynamic, fast-moving environment.