Business Analyst– Agentic AI & LLM

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Overview

Business Analyst (BA)

LangChain, n8n, and OpenAI APIs

LLM-enabled agentic workflows

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.

Preferred Skills

• Agentic AI workflow design (n8n / LangChain / Flowise)
• Prompt engineering & response optimization
• Understanding of NLP, LLMs, and vector databases (FAISS, Pinecone, Chroma)
• Data analysis using Excel / Power BI / Python
• Knowledge of RAG, Chatbot design, and conversational AI tools
• Familiarity with cloud AI services (Azure AI, AWS Bedrock, Google Vertex AI)
• Agile/Scrum delivery experience

What You’ll Bring

• A passion for translating business problems into

  AI-driven solutions

  .
• A balance of

  technical understanding

  and

  business empathy

  .
• Curiosity to explore the evolving

  Agentic AI ecosystem

  and contribute to scalable, ethical, and high-impact solutions.

Why Join Us

• Opportunity to work on next-gen

  Agentic AI initiatives

  .
• Collaborate with experts in

  AI, data, and automation

  .
• Shape business workflows using

  cutting-edge LLM technologies

  .
• Exposure to cross-domain projects in analytics, automation, and digital transformation.