AI Business Analyst Intern: Build Intelligent Workflows

Vylor Inc.; Des Moines (IA); Hybrid; USD 20,000 - 27,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Vylor, Inc. invites applications for an AI Business Analyst Intern based in Johnston, Iowa. The role blends business analysis with hands-on AI development, partnering with the Innovation & Operations Management team to build AI-powered solutions that automate workflows and improve decision-making.

Key tasks include documenting workflows, building AI agents, and preparing data for AI inputs. Ideal candidates will have programming skills (Python), experience with LLM APIs, and knowledge of agentic

Qualifications

• Pursuing a degree in Computer Science, Data Science, Information Systems, Business Analytics, or related field.
• OR pursuing a business-focused degree with demonstrated technical AI skills
• Minimum cumulative GPA of 3.000 on a 4.000 scale.
• Must be eligible to work in the United States on a permanent basis.

Responsibilities

• Document existing workflows and gather requirements from stakeholders.
• Build and test AI agents and automated workflows; design and refine prompts; chain LLM calls.
• Develop proof-of-concept solutions and demo to stakeholders; iterate rapidly.
• Prepare, clean, and structure data for AI inputs; connect solutions to internal data.

Skills

Python

LLM APIs

Agentic AI

SQL

Data manipulation

Communication

Fast-paced learning

Education

Bachelors or Masters in Business or Engineering

Tools

LangChain

LlamaIndex

OpenAI

Anthropic

Job description

Vylor, Inc. invites applications for an AI Business Analyst Intern based in Johnston, Iowa. The role blends business analysis with hands-on AI development, partnering with the Innovation & Operations Management team to build AI-powered solutions that automate workflows and improve decision-making.

Key tasks include documenting workflows, building AI agents, and preparing data for AI inputs. Ideal candidates will have programming skills (Python), experience with LLM APIs, and knowledge of agentic