B
Principal AI Engineer
Burrell Preferred Inc.
5 hours ago
Full-time
On-site
Springfield, Missouri, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr