GenAI Business Analyst: Agentic AI & Requirements

Infor; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Infor is seeking a Business Analyst to shape adaptive, agentic experiences across Infor applications. You will bridge business stakeholders, product teams, UX, and engineering on GenAI initiatives, turning complex needs into clear requirements, user stories, and testable specifications for AI agents and LLM-based features.

You will define what an agent should do, what tools and data it can use, handoffs to people, and how its quality is judged, driving alignment and delivery.

Qualifications

• Experience gathering and documenting requirements, user stories, and acceptance criteria.
• Experience analyzing workflows and translating them into clear business rules or system logic.
• Understanding how LLMs and AI agents behave, and turning that understanding into testable requirements.
• Hands-on experience with at least one GenAI, LLM, agentic, or conversational AI initiative, as a BA/PO.
• Ability to read API documentation and write technically coherent requirements.
• Baseline AI literacy: understands how AI works and where it can go wrong.
• Uses AI tools in day-to-day analysis and documentation work and checks output.
• Experience creating documentation, release notes, or other product-related deliverables.
• Legal authorization to work permanently in the United States for any employer without visa sponsorship now or in the future.

Skills

Requirements gathering

Workflow translation

GenAI experience

LLM concepts

APIs understanding

Documentation

Stakeholder alignment

Testable specifications

UX collaboration

Job description

Infor is seeking a Business Analyst to shape adaptive, agentic experiences across Infor applications. You will bridge business stakeholders, product teams, UX, and engineering on GenAI initiatives, turning complex needs into clear requirements, user stories, and testable specifications for AI agents and LLM-based features.

You will define what an agent should do, what tools and data it can use, handoffs to people, and how its quality is judged, driving alignment and delivery.