Business Analyst - Agentic AI

About the Role

We are seeking a highlyexperienced Business/System Analyst with strong domain expertise in CoreBanking and emerging Agentic AI / Generative AI technologies.

This role will work closelywith business stakeholders, architects, engineering teams, and leadership todrive next-generation AI-enabled banking solutions leveraging LLMs, RAGframeworks, Agentic AI patterns, and modern AI orchestration technologies.

The ideal candidate combines:

. Strongbanking domain expertise

. Solutionarchitecture thinking

. Hands-onGenAI understanding

. Abilityto bridge business and technology teams

This is a strategic andhands-on role focused on transforming banking processes using modern AItechnologies.

Key Responsibilities

. Analyseand understand core banking systems, business processes, and enterprisearchitecture.

. Identifyopportunities to leverage GenAI and Agentic AI capabilities across bankingoperations and customer journeys.

. Gatherrequirements, perform solution analysis, and drive implementation activities.

. Designscalable AI-enabled solutions using LLMs, RAG, and AI orchestration frameworks.

. Evaluateand integrate LLM platforms such as OpenAI, LLaMA, Gemini, DeepSeek, etc.

. Collaboratewith engineering teams on Agentic AI workflows, LangChain/LangGraph solutions,and MCP-based architectures.

. Translatecomplex business requirements into functional and technical solutions.

. Workindependently with stakeholders across business and technology teams.

Required Experience &Skills

. Strongexperience in Banking / Financial Services with exposure to Core Bankingplatforms.

. Provenexperience as a Business Analyst, System Analyst, or Solution Analyst.

. Good understanding of: Generative AI / Agentic AI , LLM architecture , Prompt engineering , RAG frameworks and Model Context Protocol (MCP) .

• Hands-on exposure to: LangChain, LangGraph , Python, AI workflows / orchestration , OpenAI, Gemini, LLaMA, DeepSeek, etc.

. Experience designing scalable enterprise AI solutions.

. Exposure to OpenShift / Kubernetes is advantageous.

Soft Skills

. Strongcommunication and stakeholder management skills.

. Excellentanalytical and problem-solving abilities.

. Self-driven,proactive, and capable of working independently.

. Strongcollaboration and leadership capabilities.

Preferred

. Experiencedelivering GenAI solutions within banking transformation programs.

. Understandingof AI governance, security, and enterprise architecture principles.