On-Site AI Engineer - Enterprise AI & Governance

Shelter Insurance Companies; Columbia Township (MO); On-site; USD 91,000 - 112,000; Full time

Benefits offered by this job

Health, Dental, Vision & Prescription

401(k) Savings & Profit Sharing

Paid Time Off & Holidays

Wellness Program

Dress for Your Day

Flexible Scheduling

And more!

Job summary

Shelter Insurance Companies in Columbia, Missouri is seeking an AI Engineer to implement and support governed AI experiences under senior engineer direction. This full-time, on-site role is at the Individual Contributor level.

You will balance rapid experimentation with enterprise testing, security, observability, and operational ownership, collaborating with product leaders. Strong Python, REST APIs, SQL, Git, and experience with LLMs and enterprise AI platforms are preferred.

Qualifications

• Bachelor's degree or equivalent professional experience in CS/related field.
• Experience developing software, data products, AI applications, or enterprise integrations.
• Hands-on experience with Python and REST APIs, plus familiarity with SQL and Git.
• Working knowledge of large language models, prompt engineering, embeddings, vector search, RAG, and agentic workflows.

Responsibilities

• Implement and support governed AI experiences under senior engineer, architect, and product leader direction.
• Balance rapid experimentation with enterprise testing, security, observability, and operational ownership.

Skills

Python

REST APIs

SQL

Git

LLMs

Prompt engineering

Embeddings

Vector search

RAG

Agentic workflows

Education

Bachelor's degree in computer science, engineering, data science, or related field

Tools

Snowflake

Glean

Snowflake Cortex

Snowflake CoCo

Job description

Shelter Insurance Companies in Columbia, Missouri is seeking an AI Engineer to implement and support governed AI experiences under senior engineer direction. This full-time, on-site role is at the Individual Contributor level.

You will balance rapid experimentation with enterprise testing, security, observability, and operational ownership, collaborating with product leaders. Strong Python, REST APIs, SQL, Git, and experience with LLMs and enterprise AI platforms are preferred.