Our Customer:
Our customer is driving enterprise digital transformation through AI-powered conversational experiences, intelligent knowledge management, and automation solutions. The team develops scalable AI products that enhance user experience, improve access to enterprise knowledge, and enable secure, efficient digital services across the organization.
Your Tasks:
Gather, analyze, and document business requirements from stakeholders and subject matter experts.
Translate business and product requirements into well-defined user stories, acceptance criteria, process flows, business rules, and delivery-ready backlog items.
Support backlog refinement by identifying dependencies, risks, gaps, and clarification needs throughout the product lifecycle.
Maintain requirements documentation, decision logs, and traceability to ensure clear alignment between business needs and delivered solutions.
Design AI use cases, conversational flows, user journeys, and interaction scenarios for enterprise AI solutions.
Define business rules for AI responses, escalation paths, fallback scenarios, and user feedback mechanisms.
Analyze user behavior, questions, and intents to continuously improve conversational experiences and AI solution effectiveness.
Collaborate with UX designers, AI engineers, developers, QA teams, architects, Product Owners, and other cross-functional stakeholders to deliver high-quality AI-powered products.
Support enterprise knowledge management by defining requirements for content accessibility, governance, permissions, metadata, and content quality.
Participate in AI response validation, citation accuracy reviews, and continuous improvement of AI-generated content.
Contribute to Agile delivery by supporting sprint planning, backlog refinement, product validation, and successful feature delivery.
Provide business and functional guidance throughout the development lifecycle while supporting product adoption, continuous improvement, and increased user trust in AI-powered solutions.
Required Experience and Skills:
3+ years of experience in Business Analysis, including experience with AI/ML products and Agile delivery methodologies.
Experience delivering enterprise-scale AI, automation, or digital solutions.
Exposure to Large Language Models (LLMs), agentic AI, or workflow automation platforms.
Proven experience writing user stories, acceptance criteria, process documentation, and business requirements.
Experience working closely with Product Owners, software development teams, QA engineers, and cross-functional stakeholders.
Experience supporting User Acceptance Testing (UAT), solution validation, and product quality assurance activities.
Proven ability to deliver measurable business outcomes while working across cross-functional teams.
Strong analytical thinking and problem-solving skills with the ability to operate effectively in fast-changing and evolving environments.
Experience collaborating within global, cross-functional teams.
Excellent written and verbal communication skills in English.
Strong understanding of Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI agent frameworks.
Experience supporting the delivery of AI-powered applications, conversational AI solutions, chatbots, copilots, or automation initiatives.
Familiarity with cloud technologies, preferably Microsoft Azure, Azure AI Foundry, Databricks, APIs, microservices, and distributed AI architectures.
Ability to translate business requirements into scalable AI-enabled user experiences.
Understanding of AI governance, Responsible AI principles, and data privacy best practices.
Familiarity with enterprise knowledge management platforms or AI-powered knowledge solutions.
Would Be a Plus:
Experience supporting Corporate Functions such as Human Resources, Finance, or other enterprise business domains.
Background in Analytics, Business Intelligence, Microsoft Power Platform, data produc
