P
Snowflake AI Engineer
Photon
2 hours ago
Full-time
On-site
Las Vegas, Nevada, United States
Greetings From Photon,
We hope you are good! We are hiring
Snowflake AI Engineer
- to join our Digital Engineering team.
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. For a brief 1 minute video about us, you can check
Must Have Experience: Snowflake AI:
Strong hands-on Snowflake experience, especially Cortex AI, CoCO, CoCO Desktop and Snowpark. GenAI / Agentic AI:
Experience building RAG solutions, vector search, LLM integrations and AI agents. Data Engineering:
Strong Python and SQL, with experience in Airflow, dbt, Spark and Kafka.
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.
We hope you are good! We are hiring
Snowflake AI Engineer
- to join our Digital Engineering team.
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. For a brief 1 minute video about us, you can check
Must Have Experience: Snowflake AI:
Strong hands-on Snowflake experience, especially Cortex AI, CoCO, CoCO Desktop and Snowpark. GenAI / Agentic AI:
Experience building RAG solutions, vector search, LLM integrations and AI agents. Data Engineering:
Strong Python and SQL, with experience in Airflow, dbt, Spark and Kafka.
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.