- Identify and analyze business processes, inefficiencies, and automation opportunities that can be optimized using AI technologies such as Machine Learning, NLP, Computer Vision, RAG, and Large Language Models (LLMs)
- Collaborate with stakeholders to gather, document, and refine business requirements for AI and automation initiatives
- Create and maintain technical and functional documentation using AI-assisted frameworks and tools
- Write detailed user stories, acceptance criteria, Jira tasks, and Confluence documentation aligned with Agile delivery practices
- Participate in backlog refinements, sprint planning sessions, and cross-functional workshops
- Translate business goals into clear technical requirements and measurable success metrics
- Use Generative AI and copilot tools to accelerate the creation of BRDs, workflows, technical summaries, and internal knowledge bases
- Validate AI-generated outputs, ensuring accuracy, consistency, and business relevance
- Act as the communication bridge between business teams, developers, data scientists, compliance/legal stakeholders, and leadership
- Support change management initiatives, user onboarding, training documentation, and AI adoption across teams