Job Description

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.