Senior AI Engineer, Snowflake Data AI (LLMs) | Hybrid

Allura Partners; Sydney; Híbrido; AUD 189 000 - 231 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid setup

Snowflake AI tooling access

Platform evolution influence

Resumo da oferta

Allura Partners in Sydney is seeking a Senior AI Engineer with a data engineering background to build AI systems on Snowflake. This hands-on role sits at the intersection of data and AI, collaborating with teams to deploy models and data products.

The successful candidate will craft data models, pipelines, and monitoring for AI workloads, with emphasis on LLMs, embeddings, and vector search, while using Snowflake's AI features and Data Vault methods.

Qualificações

• Strong data engineering foundations with Snowflake, SQL, dbt and Python.
• Experience with Cortex or Snowflake AI functions in live projects.
• Hands-on with LLMs, embeddings and vector search.
• Data Vault knowledge preferred for modeling.
• Understanding ML feature shaping for production use.
• Ability to discuss technical work in plain language.

Responsabilidades

• Build and deploy AI solutions on Snowflake, including LLM and vector workloads.
• Develop data pipelines and products with AI enrichment at data land.
• Design data models for reporting and AI using Data Vault and dimensional methods.
• Set up monitoring and alerts for AI and data workloads.
• Connect outputs to applications and guide business teams from idea to solution.

Conhecimentos

Snowflake

SQL

dbt

Python

Snowpark

Cortex

LLMs

Embeddings

Vector search

Data Vault

ML features

AI collaboration

Plain language

Descrição da oferta de emprego

Allura Partners in Sydney is seeking a Senior AI Engineer with a data engineering background to build AI systems on Snowflake. This hands-on role sits at the intersection of data and AI, collaborating with teams to deploy models and data products.

The successful candidate will craft data models, pipelines, and monitoring for AI workloads, with emphasis on LLMs, embeddings, and vector search, while using Snowflake's AI features and Data Vault methods.