Agentic AI Data Scientist Morton, IL or Dallas, TX | On-Site Full Time | 6 Months Job Details
Estimated Start Date: 7 October 2026
Building Location: Morton, IL or Dallas, TX
Remote Possibility: On-Site Full Time
Daily Schedule: Monday-Friday
Estimated Duration: 6 months
Position’s Contributions to Work Group
As AI continues to evolve, there is a need to quickly learn new technology and build AI Agents and use them to create alerts & automate workflows. Most of the company’s structured data resides in Snowflake. We are looking for an expert who has experience building AI Agents in Dataiku & Snowflake and using Dataiku recipes & Python for workflow automation
Typical Day or Week in the Role Typical Task Breakdown
Understand the objective
Write code in Snowflake & Dataiku to build AI Agents
Test output and update code
Interaction with Team
Daily standup meetings
Team Structure
Work on a project with 3 other people (includes project leader)
Education & Experience Required
Years of experience: 5-7years
Degree requirement: Bachelors in AI, Data Science, Computer Science
Do you accept internships as job experience: Yes
Are there past or additional job titles or roles that would provide comparable background to this role: No
Top 3 Skills
Built agents in Dataiku & Snowflake Cortex (critical) - structured data
Workflow automation in Dataiku recipes & Python (write programming logic)
Experience with LangGraph, Langchain, CrewAI
Additional Technical Skills Required
Multi-agent architecture and orchestration patterns
Agent collaboration, planning, delegation, and workflow orchestration
Reusable agent frameworks and reference architectures
Security, access control, and governance
Role-based access control (RBAC), personas, authorization models, and guardrails
Auditability, and compliance considerations
Enterprise integrations and data access patterns
Integration with Microsoft Teams, SharePoint, email, PDFs, and enterprise data sources
Event-driven and batch processing architectures
API and workflow integration best practices
Agent evaluation, testing, and observability
Offline and online evaluation methodologies
Groundedness, relevance, hallucination detection, and task-success measurement
Automated regression testing, monitoring, observability, and performance tracking