Job
Description
Role Overview: As an AI Business Analyst at Infinova, you will be a key player in defining business and product requirements for AI-driven systems. Your role will involve ensuring successful delivery of features powered by AI/ML, LLMs, and GenAI platforms. You will need to apply strong analytical thinking and engage hands-on with AI product workflows, cloud platforms, and stakeholder needs. Your collaboration with customers, product managers, data scientists, and engineering teams will be crucial in translating business goals into AI-powered solutions and measurable outcomes. Key Responsibilities: - Partner with product and engineering teams to understand business requirements and translate them into AI/ML features, use cases, and solution specifications. - Define functional requirements and acceptance criteria for AI workflows, LLM-based features, and cloud AI integrations on platforms such as Microsoft Fabric/Foundry, Azure, and AWS. - Conduct analysis on business processes, data flows, and user journeys to identify opportunities for AI-driven enhancements. - Collaborate with engineers and data scientists to validate feasibility, constraints, and data readiness across cloud AI systems. - Create user stories, BRDs/FRDs, wireframes, and workflow diagrams for GenAI and AI product initiatives. - Support the assessment, prioritization, and roadmap planning of AI features and improvements. - Assist in defining KPIs, evaluation metrics, and qualitative/quantitative success indicators for AI-powered product capabilities. - Participate in testing, validation, and rollout of new AI features, including behavior evaluation for LLM systems. - Provide clear business-technical communication and maintain documentation to support collaboration across cross-functional teams. - Work effectively with remote and cross-functional stakeholders using modern product and communication tools. Qualifications Required: - Bachelor or Masters degree in Business Management, Information Technology, or a related field. - 3+ years of experience in business analysis, product analysis, or requirements design in technology-driven products. - Familiarity with GenAI and AI/ML concepts and platforms, including LLMs, embeddings, vector-based workflows, and cloud AI services. - Experience working with cloud environments such as Microsoft Fabric/Foundry, Azure, or AWS and understanding of common AI product patterns. - Experience translating business requirements into functional and technical specifications for AI-enabled applications. - Skills in process modeling, workflow analysis, and tools such as JIRA, Confluence, Git-based collaboration, or similar. - Strong analytical, problem-solving, and communication skills, with the ability to collaborate across product, engineering, and data teams. - Ability to operate independently in dynamic, distributed, cloud-based environments. (Note: No additional details about the company were present in the provided job description),
