Learn ZBrain and emerging AI technologies; gather business requirements; design and build AI workflows, agents, and integrations; translate requirements into functional specifications and user stories; test and refine AI solutions; collaborate with engineers and stakeholders; prepare documentation, prototypes, and demonstrations; and support sprint, UAT, and release activities.
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.
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.
Other Relevant Information
- Bachelor’s degree in Engineering (BE/B.Tech - CS/IT) or a Master’s degree in Computer Applications (MCA) or an equivalent qualification.
We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The job description does not include specific responsibilities or qualifications because the position details were replaced with a placeholder. Based on the title, this is a principal-level role focused on data platform engineering.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Owns operational excellence and engagement for Atlassian’s APAC Champion program. Responsibilities include managing program systems, documentation, metrics, surveys, feedback, CRM and rewards projects, enablement initiatives, escalations, community communications, virtual events, regional reporting, and an annual regional event. The role builds relationships with Champions, supports user groups and content creation, enforces program guidelines, and partners with cross-functional and regional stakeholders.
Top Skills:
Atlassian ProductsBevyHigher Logic VanillaHubspotSalesforceSlackTableau
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develops and applies quality assurance protocols for raw materials, production equipment, in-process materials, and finished semiconductor products. Ensures compliance with company standards, government regulations, GMPs, and ISO requirements. Analyzes inspection data and trends, recommends corrective actions, verifies sampling and statistical process control procedures, and supports continuous improvement using Generative AI insights.
Top Skills:
Generative AiStatistical Process Control (Spc)
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
