Snowflake AI Architect — Las Vegas, NV

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out ••••••••

Zukf5R is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other

About the role:

We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

Key Responsibilities

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.

• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.

• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.

• Build robust ELT/ETL pipelines and real-time integrations.

• Lead workshops, architecture reviews, PoCs, and production deployments.

• Develop reusable accelerators and best practices.

Required Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.

• Deep expertise in Snowflake architecture, security, governance, and performance optimization.

• Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.

• Experience building LLM, RAG, vector search, and agentic AI solutions.

• Strong SQL and Python skills.

• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).

• Strong customer-facing communication and solution architecture skills.

Preferred Qualifications

• Snowflake certifications (Architect, Data Engineer, AI specialization).

• Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.

• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.

• Knowledge of enterprise security, governance, privacy, and compliance frameworks.

Ideal Candidate

• A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.