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.
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