Business System Analyst - Agentic AI & Conversational Systems

Key Responsibilities

• Act as a bridge between business stakeholders and the AI engineering team for agentic AI initiatives.
• Elicit, analyze, and document business requirements and user journeys for AI-powered assistants and chatbots.

Translate Business Needs Into

• Functional requirements
• User stories and acceptance criteria
• Conversation flows and agent behaviors

Work Closely With AI Engineers To Support

• Migration of legacy RASA-based workflows into agent-driven AI architectures .
• Definition of agent goals, tools, decision logic, and success criteria.

Define and document use cases for intelligent assistants such as booking, tracking, issue resolution, and notifications.

• Collaborate with Product, UX, and Engineering teams to ensure consistent and intuitive user experiences .
• Support UAT, validation, and business sign-off of AI-driven solutions.
• Maintain clear documentation for workflows, assumptions, dependencies, and system behavior.

Required Skills & Qualifications

• Strong experience as an IT / Business Analyst working with software or AI-driven systems.
• Prior exposure to chatbots or conversational AI platforms such as RASA (intent, entity, dialogue concepts).
• Ability to define end-to-end workflows , decision trees, and conversational flows.
• Solid understanding of AI concepts including LLMs, agent-based workflows, and RAG (conceptual level).
• Experience writing clear user stories, acceptance criteria, and functional specifications .
• Strong communication skills with the ability to work across technical and non-technical stakeholders.
• Familiarity with Agile / Scrum delivery models.