We are seeking a motivated and detail-oriented AI Business Analyst to join our dynamic team. The ideal candidate is curious about AI technologies and has foundational knowledge of prompt engineering, context engineering, agentic workflows, and iterative AI development, along with a solid understanding of software development fundamentals, including the software development lifecycle, APIs, databases, testing, debugging, version control, and basic programming concepts. The candidate should be comfortable using tools such as Claude Code, Codex, ChatGPT, Gemini, and other GenAI products. You will gather business requirements, design AI workflows, and collaborate with engineers and the product team to translate business needs into practical AI features. This is an excellent opportunity to learn cutting-edge AI concepts, work hands-on with ZBrain, and grow into an AI solution expert.
Responsibilities
Learn and develop deep expertise in ZBrain's platform capabilities, AI agent orchestration, and emerging AI technologies.
Collaborate with business stakeholders to gather, analyze, and document requirements for AI use cases, business processes, and agentic workflows.
Translate business requirements into AI solution designs, workflow specifications, functional requirements, user stories, and acceptance criteria.
Design, build, and optimize AI workflows within ZBrain by applying prompt engineering, context engineering, and iterative AI development best practices.
Work closely with software engineers to define APIs, integrations, data requirements, and implementation approaches for AI solutions.
Test, validate, and refine AI agents and workflows by evaluating outputs, troubleshooting issues, and continuously improving solution quality.
Prepare solution documentation, presentations, prototypes, and product demonstrations for both technical and non-technical stakeholders.
Participate in planning, sprint execution, user acceptance testing (UAT), and release activities to ensure high-quality and timely delivery of AI solutions.
Stay current with advancements in generative AI models, agentic AI frameworks, developer tools, and industry best practices, and recommend improvements to existing solutions.
Effectively communicate findings, recommendations, and project updates to technical teams, business stakeholders, and leadership.
Requirements
Essential Skills
Job
Strong analytical, critical thinking, and problem-solving skills with the ability to quickly understand complex business processes and AI concepts.
Foundational knowledge of prompt engineering, context engineering, agentic workflows, and iterative AI development.
Familiarity with modern AI tools and coding assistants such as ChatGPT, Claude, Gemini, Codex, Claude Code, or similar platforms for research, workflow design, and solution development.
Solid understanding of software development fundamentals, including the software development lifecycle (SDLC), APIs, databases, testing, debugging, version control, and basic programming concepts..
Basic understanding of system integrations, REST APIs, JSON, and data exchange concepts.
Personal
Excellent verbal and written communication abilities.
Willingness to learn, adapt to new technologies, and take on new challenges.
Preferred Skills
Job
Familiarity with business process modeling and documentation tools.
Exposure to AI/ML concepts, GenAI models, or workflow automation.
Experience with requirement management tools (Jira, Confluence, etc.).
Personal
Demonstrate proactive thinking
Strong interpersonal skills to collaborate with stakeholders at various levels.
Strong problem-solving skills with attention to detail.
Have the ability to work under stringent deadlines and demanding client conditions.