Business Analyst AI

Quess Corp Limited; Bengaluru Urban; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Quess Corp Limited in Bengaluru is hiring for a Senior Business Analyst AI position based in our Bangalore office. The role targets professionals with at least 7 years of experience in business analysis and AI-enabled transformation projects.

You will evaluate architectures for Generative AI, translate complex AI capabilities for business needs, and ensure governance, traceability, and alignment with enterprise goals throughout the transformation lifecycle.

Qualifications

• Banking/financial institutions transformation experience required.
• Familiar with sandbox design, secure development environments and workspace testing tools.
• Hands-on software development or implementation with Python, LLM APIs and AI agents.

Responsibilities

• Evaluate, guide, and define functional architectures for Generative AI and autonomous agentic solutions across multi-functional business units.
• Bridge technical teams and executives by translating LLM capabilities, agent memory models, and RAG architectures into business requirements.
• Define specifications for stateful agents, knowledge retention mechanisms, and contextualization layers using vector databases and knowledge graphs.
• Ensure AI transparency, auditability, and governance with traceability and explainability frameworks across AI initiatives.
• Support analysis and delivery governance across the transformation lifecycle, aligning AI milestones with enterprise goals.

Skills

Banking/financial domain experience

Sandbox design

Python & LLM APIs

Job description

We are currently hiring for a Senior opportunity with one of our clients for the position of BA role at Bangalore location.

Please find the details attached for your reference.

Position: Business Analyst AI

Work Model: Work from Office

Experience: Minimum 7 years

Key Responsibilities :

• Evaluate, guide, and define functional architectures for Generative AI and autonomous agentic solutions across multi-functional business units.
• Bridge technical engineering teams and executive stakeholders by translating complex LLM capabilities, agent memory models, and RAG architectures into clear business requirements.
• Define specifications for stateful agents, knowledge retention mechanisms, and contextualization layers using vector databases and knowledge graphs.
• Ensure AI transparency, auditability, and ethical governance by designing comprehensive traceability and explainability frameworks across all AI initiatives.
• Support business analysis and delivery governance across the complete transformation lifecycle, aligning AI implementation milestones with overarching enterprise goals.

Mandatory Skills

• Domain background or transformation project experience within corporate, commercial, or retail banking and financial institutions.
• Familiarity with sandbox design, secure development environments, and workspace tools for testing agentic automation workflows.
• Prior hands-on software development or implementation exposure with Python, LLM APIs, and AI agent