Principal AI Engineer

Burrell Preferred Inc. is hiring a Principal AI Engineer to help build enterprise AI capabilities on our data platform, with a strong focus on Snowflake integration. In this senior technical contributor role within Analytics, you will lead LLM-enabled analytics that move from prototypes to production-ready systems, while mentoring cross-functional teams and strengthening standards for responsible, secure AI use aligned with enterprise data governance.

What you will do

• Lead the design and implementation of LLM-enabled analytics leveraging Snowflake and Cortex AI features
• Develop natural language-to-SQL solutions and conversational interfaces that enable business users to query governed enterprise data
• Collaborate with Data Engineering to design and maintain semantic data models that support reliable AI-driven query generation
• Build prototype AI applications to validate high-value business use cases and demonstrate new capabilities
• Guide prototype transitions into scalable, production-ready solutions, establishing architectural patterns and best practices for LLMs with structured data
• Support Data Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks
• Identify high-impact opportunities for AI across analytics, reporting, and decision-support workflows
• Evaluate emerging AI technologies, tools, and Snowflake platform capabilities for potential adoption
• Help develop standards for responsible, secure AI usage aligned with enterprise data governance
• Document system architecture, design decisions, and implementation approaches
• Provide technical guidance and mentorship to analytics and data engineering team members
• Operate in accordance with operational guidelines and professional ethics, participate in staff development activities, and perform other duties as assigned

What you bring

• Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or a related field
• 7+ years of experience in data, analytics, engineering, or applied AI roles
• Demonstrated experience building or prototyping AI/LLM-driven solutions in enterprise environments
• Experience with modern data warehouse platforms, with Snowflake preferred
• Proficiency in SQL and Python
• Experience with cloud platforms (AWS, Azure, or GCP) preferred
• Healthcare or regulated industry experience preferred but not required
• Strong understanding of modern data warehouse architecture and analytics data modeling practices
• Experience designing natural language query interfaces, including prompt engineering, context management, and grounding techniques
• Knowledge of semantic data modeling and data governance principles
• Ability to translate complex analytical questions into scalable technical solutions and communicate clearly to technical and non-technical stakeholders
• Self-directed problem solver with leadership and mentoring experience
• Successful completion of a background check including criminal record, driving record, abuse/neglect, and fingerprint check required
• Current driver’s license, acceptable driving record, and current auto insurance required

Benefits and culture

• Employee Assistance Program offering 24/7 counseling services, legal assistance, and financial consultation for you and your household at no cost
• Mileage reimbursement for company-paid work functions requiring travel
• Employee discounts for hotels, theme parks and attractions, and college tuition
• Workplace culture focused on employee wellbeing, valuing each individual’s humanity, and promoting a healthy, joyful workforce
• Paid time off with an attractive time off package for full-time employees
• Employee benefits package including health, dental, vision, retirement, life, and more for full-time employees
• Top-notch training with initial, ongoing, comprehensive, and supportive support
• Career mobility with advancement opportunities and promoting from within
• Welcoming, warm, supportive environment that promotes your wellbeing, values you as a human being, and encourages your health and happiness
• Additional perks and benefits available (see the bottom of this post)

Location

Springfield, MO (onsite)

Physical requirements

• Sedentary work, including exerting up to 10 pounds of force occasionally and/or negligible force frequently for lifting, carrying, pushing, or pulling
• Repetitive movements of hands, fingers, and arms for typing and/or writing during the work shift
• Primarily sitting with occasional walking or standing for brief periods

Key technologies: LLM, Snowflake, Cortex AI, natural language-to-SQL, semantic data models, SQL, Python, AWS, Azure, GCP, prompt engineering, context management, grounding techniques, LLMs with structured data.