Snowflake AI Engineer

Job Description

Greetings From Photon,

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We hope you are good! We are hiring Snowflake AI Engineer - to join our Digital Engineering team.

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Who are we?

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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

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Must Have Experience:

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• Snowflake AI: Strong hands-on Snowflake experience, especially Cortex AI, CoCO, CoCO Desktop and Snowpark.
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• GenAI / Agentic AI: Experience building RAG solutions, vector search, LLM integrations and AI agents.
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• Data Engineering: Strong Python and SQL, with experience in Airflow, dbt, Spark and Kafka.
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About the Role

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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.

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Key Responsibilities

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• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
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• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
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• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
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• Build robust ELT/ETL pipelines and real-time integrations.
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• Lead workshops, architecture reviews, PoCs, and production deployments.
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• Develop reusable accelerators and best practices.
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Required Qualifications

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• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
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• Deep expertise in Snowflake architecture, security, governance, and performance optimization.
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• Hands-on experience with Cortex AI , CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
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• Experience building LLM, RAG, vector search, and agentic AI solutions.
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• Strong SQL and Python skills.
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• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
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• Strong customer-facing communication and solution architecture skills.
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Preferred Qualifications

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• Snowflake certifications (Architect, Data Engineer, AI specialization).
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• Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
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• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
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• Knowledge of enterprise security, governance, privacy, and compliance frameworks.
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Ideal Candidate

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