Design, build, and deploy AI agents using Snowflake and Microsoft Copilot Studio
Implement LLM-powered workflows using Snowflake Cortex (e.g., summarization, classification, semantic search, NLQ)
Develop multi-agent or orchestration patterns for enterprise use cases (customer insights, support automation, analytics augmentation)
Build and maintain interactive AI applications using Streamlit in Snowflake for internal analytics and decision support
Enable natural language interfaces for data exploration and reporting
Develop and maintain data models and warehouses in Snowflake and SQL Server
Ensure data quality, governance, performance, and reliability across pipelines
Leverage Snowpark, Snowflake ML functions, and Python to build and deploy ML/AI solutions
Integrate external AI services or APIs where appropriate
Develop and enhance Power BI dashboards and semantic models

Bachelor's degree in Computer Science, Engineering, or related field
3–5 years of experience in data engineering, AI/ML, or platform development
Experience with Copilot Studio or similar agent frameworks
Hands-on exposure to LLM use cases (prompting, chaining, RAG, orchestration)
Strong experience with Snowflake, including Snowpark (Python) and Streamlit
Proficiency in Python (data processing, APIs, AI workflows)
Strong SQL skills (performance tuning, complex transformations)
Experience with ETL/ELT pipelines, data modeling (Kimball/Inmon), and warehousing
Experience with Power BI, including DAX and data modeling
Excellent communication and comprehension skills
Excellent organizational and time management skills
Strong problem-solving and analytical thinking
Clear communication across technical and non-technical stakeholders
Relevant certifications (Snowflake, Microsoft AI, Power BI)

Software Engineer II

Key skills