Senior AI/ML Architecture Lead (Snowflake)

Jobtailor; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a Senior Solutions Architect to lead complex AI/ML deployments on Snowflake from architecture to delivery, partnering with executives to align platform strategy with business goals. You will mentor teams and drive MLOps adoption across data engineering, analytics, and product groups.

You will translate business problems into scalable Snowflake-based solutions, own critical architectural decisions, and ensure governance, performance, and security best practices.

Qualifications

• BA/BS in computer science, engineering, mathematics, or related field, or equivalent practical experience
• 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
• Track record leading architecture decisions on large-scale enterprise data and AI platforms
• Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance
• Expert understanding of the data analytics stack, including ETL, data pipelines, data platform architecture, BI tooling, and semantic layers
• Understanding of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance
• Proficiency in SQL and Python
• Ability to produce and review production-quality code
• Experience designing and implementing enterprise-scale MLOps frameworks and model lifecycle management
• Ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics
• Generative AI and LLM production experience is a bonus
• AWS, Google Cloud, or Microsoft Azure advanced certifications are a bonus
• Snowflake SnowPro Advanced Certification is a bonus
• Other bonus qualifications include Center of Excellence development, technology product company services experience, industry expertise, and multi-team or multi-vendor delivery leadership

Responsibilities

• Lead customer engagements as the primary technical authority, owning architecture decisions and measurable outcomes across complex implementations
• Partner with executives and senior technical leaders to define platform strategy, long-term roadmaps, and business alignment
• Translate ambiguous business problems into scalable technical solutions with delivery paths and risk mitigation
• Serve as the technical escalation point, unblocking delivery teams and resolving architectural issues
• Architect and implement end-to-end AI/ML solutions on Snowflake
• Define and champion enterprise MLOps practices, including deployment pipelines, monitoring, governance, and lifecycle management
• Drive adoption of Snowflake Cortex, Streamlit in Snowflake, and Snowflake Intelligence
• Lead replatforming of complex AI/ML workloads onto Snowflake
• Coordinate across customer engineering, data science, and platform teams
• Bridge Services Delivery, Go-to-Market, and Snowflake product teams
• Channel customer feedback to influence product direction
• Mentor junior architects and consultants
• Develop reusable architecture patterns, reference implementations, and delivery accelerators

Skills

Solutions Architecture

Snowflake Implementation

MLOps Frameworks

SQL Proficiency

AI/ML Lifecycle Understanding

Stakeholder Influence

Mentoring

Problem Solving

Communication

Education

BA/BS in computer science, engineering, mathematics, or related field

Tools

Snowflake

BI Tooling

Streamlit

Snowflake Cortex

AWS

Google Cloud

Microsoft Azure

Job description

Jobtailor is seeking a Senior Solutions Architect to lead complex AI/ML deployments on Snowflake from architecture to delivery, partnering with executives to align platform strategy with business goals. You will mentor teams and drive MLOps adoption across data engineering, analytics, and product groups.

You will translate business problems into scalable Snowflake-based solutions, own critical architectural decisions, and ensure governance, performance, and security best practices.