Business Analyst with Agentic AI

We are seeking a dynamic Business Analyst (BA) with strong expertise in Agentic AI, Generative AI, and LLM-based solutions to bridge the gap between business needs and AI-driven outcomes.
This role involves defining AI use cases, analyzing workflows, designing automation opportunities, and collaborating with AI/ML and engineering teams to deliver intelligent, value-driven solutions using frameworks like LangChain, n8n, and OpenAI APIs.

The ideal candidate has a strong analytical mindset, understands business processes deeply, and can translate them into LLM-enabled agentic workflows that enhance decision-making, customer experience, and operational efficiency.

Key Responsibilities

• AI Use Case Discovery: Work with stakeholders to 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 (LangChain, n8n, 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

• Bachelor’s or Master’s 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 (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.