Business Analyst– Agentic AI

Job Title:
Business Analyst – Agentic AI & LLM

Location:
Hyderabad

Experience:
3+years

Contact:

|

Overview

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.

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.