Senior AI Engineer: Enterprise LLM & Snowflake Architect

Burrell-Behavioral-Health; Springfield (MO); On-site; USD 125,000 - 165,000; Full time

Benefits offered by this job

Employee Assistance Program

Mileage Reimbursement

Employee Discounts

Workplace Culture—wellbeing emphasis

Additional Perks & Benefits

Job summary

Brightli in Springfield, MO is seeking a Principal AI Engineer to lead LLM-enabled analytics on our data platform, focusing on Snowflake integration and natural language queries. You will mentor cross-functional teams and shape enterprise AI strategy, delivering production-ready solutions for accessible enterprise data.

The role requires 7+ years in data/AI roles, strong Python/SQL skills, and experience with modern data warehouses.

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Data Engineering, or related field.
• 7+ years of experience in data, analytics, engineering, or applied AI roles.
• Experience prototyping AI/LLM-driven solutions in enterprise environments.
• Proficiency with SQL and Python; familiarity with Snowflake preferred.

Responsibilities

• Lead design and implementation of LLM-enabled analytics using Snowflake and Cortex AI features.
• Develop natural language–to–SQL solutions and conversational interfaces for governed data.
• Collaborate with Data Engineering to design semantic data models supporting AI-driven query generation.
• Build prototypes to validate high-value business use cases and guide production deployment.
• Mentor analytics and data engineering teams and establish best practices for LLMs with structured data.

Skills

LLM

Snowflake

SQL

Python

Data modeling

Prompt engineering

Cloud platforms

Education

Bachelor’s degree in CS/IS

Tools

Snowflake

SQL

Python

Cortex AI

Job description

Brightli in Springfield, MO is seeking a Principal AI Engineer to lead LLM-enabled analytics on our data platform, focusing on Snowflake integration and natural language queries. You will mentor cross-functional teams and shape enterprise AI strategy, delivering production-ready solutions for accessible enterprise data.

The role requires 7+ years in data/AI roles, strong Python/SQL skills, and experience with modern data warehouses.