Job
Description
As a Business Analyst specializing in Agentic AI and LLM-based solutions, your role will be crucial in bridging the gap between business needs and AI-driven outcomes. You will be responsible for defining AI use cases, analyzing workflows, designing automation opportunities, and collaborating with AI/ML and engineering teams to deliver intelligent solutions. Your expertise in frameworks like LangChain, n8n, and OpenAI APIs will be essential in driving value-driven solutions. **Key Responsibilities:** - **AI Use Case Discovery:** Identify and define business problems that can be solved using Agentic AI and LLM-driven automation. - **Requirement Gathering & Documentation:** Capture functional and non-functional requirements for AI projects, including prompt logic, API integrations, and data governance needs. - **Workflow Design:** Map current business processes and reimagine them using intelligent AI agents such as LangChain, n8n, and RAG systems. - **Solution Collaboration:** Partner with AI developers, data scientists, and engineers to design, validate, and test AI-driven workflows. - **Data Analysis & Validation:** Analyze structured and unstructured data to evaluate feasibility and readiness for AI solutions. - **Model Evaluation:** Assist in evaluating LLM performance through metrics like accuracy, relevance, hallucination detection, and response latency. - **Stakeholder Communication:** Translate complex AI concepts into clear business terms and reports for executive teams. - **Change Management:** Support user adoption, training, and documentation of AI-driven process transformations. - **Quality & Compliance:** Ensure Responsible AI practices including fairness, explainability, and data privacy (GDPR, ISO). - **Continuous Improvement:** 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. - Hands-on exposure to LangChain, n8n, Azure OpenAI, or similar orchestration frameworks. - 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, and model lifecycle management is a plus. - Exceptional communication, analytical, and stakeholder management skills. In this role, you will bring a passion for translating business problems into AI-driven solutions, a balance of technical understanding, and business empathy. Your curiosity to explore the evolving Agentic AI ecosystem and contribute to scalable, ethical, and high-impact solutions will be key. (Note: The additional details of the company were not provided in the job description.) As a Business Analyst specializing in Agentic AI and LLM-based solutions, your role will be crucial in bridging the gap between business needs and AI-driven outcomes. You will be responsible for defining AI use cases, analyzing workflows, designing automation opportunities, and collaborating with AI/ML and engineering teams to deliver intelligent solutions. Your expertise in frameworks like LangChain, n8n, and OpenAI APIs will be essential in driving value-driven solutions. **Key Responsibilities:** - **AI Use Case Discovery:** Identify and define business problems that can be solved using Agentic AI and LLM-driven automation. - **Requirement Gathering & Documentation:** Capture functional and non-functional requirements for AI projects, including prompt logic, API integrations, and data governance needs. - **Workflow Design:** Map current business processes and reimagine them using intelligent AI agents such as LangChain, n8n, and RAG systems. - **Solution Collaboration:** Partner with AI developers, data scientists, and engineers to design, validate, and test AI-driven workflows. - **Data Analysis & Validation:** Analyze structured and unstructured data to evaluate feasibility and readiness for AI solutions. - **Model Evaluation:** Assist in evaluating LLM performance through metrics like accuracy, relevance, hallucination detection, and response latency. - **Stakeholder Communication:** Translate complex AI concepts into clear business terms and reports for executive teams. - **Change Management:** Support user adoption, training, and documentation of AI-driven process transformations. - **Quality & Compliance:** Ensure Responsible AI practices including fairness, explainability, and data privacy (GDPR, ISO). - **Continuous Improvement:** 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 exp
