Business Analyst with Agentic AI
2 days ago
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.
- 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.
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