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Business System Analyst - Agentic AI & Conversational Systems
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-01-22
Listing for:
SIDRAM TECHNOLOGIES
Full Time
position Listed on 2026-01-22
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, IT Business Analyst, Data Scientist
Job Description & How to Apply Below
Hello, Good Morning! Hope you are doing well. This is Steve from Sidram Technologies. We have an immediate requirement for Business System Analyst - Agentic AI & Conversational Systems, and I have found your profile in Ceipal, it aligns the best with the client's needs. Please find the JD below and let me know your thoughts on it.
Title:Business System Analyst - Agentic AI & Conversational Systems
Location:
San Jose, CA (Onsite)
Experience:
10+
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.
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.
Steve IT Services | Development | Staffing
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