Job Description
We are looking for an innovative and experienced AI Engineer with strong Snowflake expertise to design, build, and productionize enterprise-grade AI and machine learning solutions. In this role, you will work at the intersection of data engineering, AI/ML, Generative AI, and cloud platforms, enabling business teams to leverage trusted enterprise data to drive intelligent decision-making and automation.
You will play a key role in developing scalable AI solutions
Implement evaluation frameworks and monitoring for Generative AI applications, including accuracy, relevance, hallucination, latency, and responsible AI metrics.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
6+ years software engineering experience/Data engineer\
LLM in production
Hands on Chatbot
AI Cortex
Microsoft Azure
Building CI/CD pipeline
Claude
Sonit 4.6
GPT
UI
React
Snowflake architecture, SQL, data modeling, and performance optimization.
prompt engineering, embeddings, vector databases/search, RAG, and Generative AI application development.
Snowflake Cortex, Microsoft Copilot Studio, Azure AI Foundry.
- Experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
or continue with email
We are looking for an innovative and experienced AI Engineer with strong Snowflake expertise to design, build, and productionize enterprise-grade AI and machine learning solutions. In this role, you will work at the intersection of data engineering, AI/ML, Generative AI, and cloud platforms, enabling business teams to leverage trusted enterprise data to drive intelligent decision-making and automation.
You will play a key role in developing scalable AI solutions
Implement evaluation frameworks and monitoring for Generative AI applications, including accuracy, relevance, hallucination, latency, and responsible AI metrics.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
6+ years software engineering experience/Data engineer\
LLM in production
Hands on Chatbot
AI Cortex
Microsoft Azure
Building CI/CD pipeline
Claude
Sonit 4.6
GPT
UI
React
Snowflake architecture, SQL, data modeling, and performance optimization.
prompt engineering, embeddings, vector databases/search, RAG, and Generative AI application development.
Snowflake Cortex, Microsoft Copilot Studio, Azure AI Foundry.
- Experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
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