Snowflake AI Engineer

Hi Everyone,We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.Job Title : Snowflake AI EngineerLocation :Las Vegas, NVLooking for Snowflake AI & Data Engineering 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 QualificationsSnowflake 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.Education:Bachelor's or equivalent degree in Computer Science, Engineering, Information Technology.