Semantic Data Modeling

Semantic Data Modeling Engineer Jobs

2 jobs found

11d ago

Principal AI Engineer

Burrell Preferred Inc. Springfield, MO

Springfield, MO

11d ago

Full time Ai Engineering Analytics Artificial Intelligence

Apply Now

Job Description

The Principal AI Engineer role at Burrell Preferred Inc. sits within Analytics as a senior technical contributor, focused on bringing enterprise AI capabilities to life on the data platform. Based in Springfield, MO (onsite), this position leads LLM-enabled analytics work, prototypes conversational access to governed enterprise data, and helps move promising ideas into production-ready architectures.

In this role, you will design and implement AI solutions with an emphasis on Snowflake integration, including natural language-to-SQL experiences and production systems that support reliable, secure decision support and analytics workflows.

Responsibilities

Lead the design and implementation of LLM-enabled analytics capabilities leveraging Snowflake and Cortex AI features
Develop natural language-to-SQL solutions and conversational interfaces for business users to query governed enterprise data
Collaborate with Data Engineering to design and maintain semantic data models that support AI-driven query generation
Build prototype AI applications to validate high-value analytics use cases and demonstrate new capabilities
Guide the transition of prototypes into scalable, production-ready solutions and establish architectural patterns and best practices for LLMs with structured data
Assist 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
Support the development of 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
Function in accordance with operational guidelines and professional ethics, participate in staff development activities, and perform other duties as assigned

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or 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, prompt engineering, context management, and grounding techniques for LLM systems
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 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

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

Benefits

Employee Assistance Program – 24/7 counseling services, legal assistance, and financial consultation for you and your household at no cost
Mileage Reimbursement – company paid for work functions requiring travel
Employee Discounts – Hotels, Theme Parks & Attractions, College Tuition
Workplace Culture - environment cultivating employee wellbeing, valuing each individual's humanity, and actively promoting a healthy, joyful workforce
Additional Perks & Benefits - scroll down to bottom of this post to learn more
Paid time off: full-time employees receive an attractive time off package
Employee benefits package: full-time employees receive health, dental, vision, retirement, life, and more
Top-notch training: initial, ongoing, comprehensive, and supportive
Career mobility: advancement opportunities and promoting from within
Welcoming, warm, supportive work culture emphasizing your well-being

Physical Requirements

Sedentary work: exerting up to 10 pounds of force occasionally and/or negligible force frequently; repetitive movements of hands, fingers, and arms for typing and/or writing during work shift
Primarily sitting with occasional walking or standing for brief periods

View full job page →

1mo ago

Senior Machine Learning Engineer

Zotec Partners Carmel, IN

Carmel, IN

1mo ago Closed

Full time Ai Ml Artificial Intelligence AWS

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Zotec Partners offers a Senior Machine Learning Engineer role based in Carmel, IN (onsite), focused on building and extending machine learning and AI systems that support governed access to data and AI tooling. You will design, ship, and improve models while creating AWS-based infrastructure to connect large language models to Zotec data. The work also includes defining safe and accurate AI reasoning over that data, with a strong emphasis on quality standards, compliance, and security.

What you’ll do

Design, develop, and maintain the ML models and data integrations that power AI-driven products and internal tools
Build and maintain tools that connect large language models to real data so AI systems can query and reason over Zotec data accurately and safely
Own the ML lifecycle from problem framing and data preparation through training, evaluation, deployment, and ongoing monitoring
Architect scalable, cost-aware ML infrastructure on AWS using services such as SageMaker, Bedrock, and Lambda
Improve retrieval and data quality using knowledge representation approaches such as ontology, taxonomy, or knowledge-graph thinking

What you bring

Bachelor’s degree required (preferably in a STEM field); Master’s degree preferred
3-5 years delivering ML solutions at scale
Proficiency in Python, and in ML model development, training, and evaluation
Experience working with structured and unstructured data at scale
System design experience for data and ML pipelines
Familiarity with AWS, including SageMaker, Bedrock, Lambda, and Redshift
Familiarity with Claude and other large language models
Familiarity with ontology, knowledge graphs, or structured data modeling
Experience with DevOps practices such as CI/CD pipelines and infrastructure as code (IaC)
Experience deploying and monitoring ML models in production on AWS
Ability to apply knowledge representation to improve retrieval or reasoning
Experience instrumenting models and pipelines for observability and performance monitoring
Clear communication with cross-functional teams including Data Engineers, Data Scientists, Business Analysts, and other engineers
Comfort balancing technical depth with practical problem-solving across performance, scalability, and accuracy
Commitment to clean, maintainable code and mentoring through code reviews, documentation, and collaboration
Understanding of healthcare-relevant quality and compliance and security, with general knowledge of standards such as HIPAA or PCI
Experience expanding LLM application patterns, including retrieval-augmented generation, prompt engineering, and evaluation frameworks
Experience using knowledge graphs and semantic data modeling to improve data retrieval and reasoning
Experience following development methodologies including Scrum and Kanban

Technologies you’ll work with

Python, Machine learning
AWS (SageMaker, Bedrock, Lambda, Redshift)
Claude, large language models
Ontology, knowledge graphs, structured data modeling, semantic data modeling
CI/CD pipelines, infrastructure as code (IaC), Scrum, Kanban
Retrieval-augmented generation, prompt engineering, evaluation frameworks
HIPAA, PCI

Benefits

Paid time off (PTO) to balance work and personal life
Health, dental and vision insurance
Company paid life insurance, AD&D, and disability
Money for your 401k
Volunteerism support and charitable gift matching through the Zotec Effect program
Tailored learning and professional development opportunities

View full job page →

Semantic Data Modeling Engineer Jobs

Principal AI Engineer

Senior Machine Learning Engineer

Get Semantic Data Modeling Engineer Jobs alerts