Business Analyst Agentic AI & LLM

Role Overview: You will be a Business Analyst (BA) with expertise in Agentic AI, Generative AI, and LLM-based solutions. Your role will involve defining AI use cases, analyzing workflows, designing automation opportunities, and collaborating with AI/ML and engineering teams to deliver intelligent solutions using frameworks like LangChain, n8n, and OpenAI APIs. You should have a strong analytical mindset, understand business processes deeply, and translate them into LLM-enabled agentic workflows to enhance decision-making, customer experience, and operational efficiency. Key Responsibilities: - Work with stakeholders to identify and define business problems that can be solved using Agentic AI and LLM-driven automation. - Capture functional and non-functional requirements for AI projects including prompt logic, API integrations, and data governance needs. - Map current business processes and reimagine them using intelligent AI agents like LangChain, n8n, and RAG systems. - Partner with AI developers, data scientists, and engineers to design, validate, and test AI-driven workflows. - Analyze structured and unstructured data to evaluate feasibility and readiness for AI solutions. - Assist in evaluating LLM performance through metrics like accuracy, relevance, hallucination detection, and response latency. - Translate complex AI concepts into clear business terms and reports for executive teams. - Support user adoption, training, and documentation of AI-driven process transformations. - Ensure Responsible AI practices including fairness, explainability, and data privacy (GDPR, ISO). - Analyze results and provide feedback loops to refine AI prompts, workflows, and decision logic. Qualifications: - Bachelors or Masters degree in Business Administration, Computer Science, or Data Analytics. - 4-8 years of experience as a Business Analyst, preferably within AI, Automation, or Data Analytics domains. - Strong understanding of Agentic AI concepts, prompt engineering, and LLM architectures like OpenAI, Anthropic, Mistral, etc. - Hands-on exposure to LangChain, n8n, Azure OpenAI, or similar orchestration frameworks. - Knowledge of APIs, integrations, and data flows between business systems and AI models. - Proficiency in analyzing business KPIs and defining success metrics for AI-based initiatives. - Excellent skills in JIRA, Confluence, Figma, or Miro for documentation and collaboration. - Understanding of MLOps, RAG (Retrieval Augmented Generation), and model lifecycle management is a plus. - Exceptional communication, analytical, and stakeholder management skills.,