Business Analyst AI

Dear Candidate,

Greetings from Quess Corp!

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

Location: Bangalore

Work Model: Work from Office

Experience: Minimum 7 years

Job description:

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.

■ Assess and articulate interface requirements for multi-modal agent interactions, browser automations, and seamless workspace integrations.

■ Support business analysis and delivery governance across the complete transformation lifecycle, aligning AI implementation milestones with overarching enterprise goals.

Mandatory Skills

■ Autonomous AI & Agentic Frameworks: Deep conceptual and architectural understanding of multi-agent orchestration and frameworks (e.g., LangChain, AutoGen, LangGraph, CrewAI, Azure OpenAI). ■ Stateful Agents & Memory Management: Robust knowledge of designing AI agents with short/long-term memory capacities, dynamic data handling, and persistent knowledge retention. ■ RAG & Knowledge Layer Structuring: Comprehensive expertise in Retrieval-Augmented Generation (RAG) paradigms, vector databases, embeddings, and knowledge graph integrations for enterprise contextualization. ■ Continuous Learning & Interface Concepts: Strong grasp of reinforcement and self-learning mechanics, multi-modal input processing (voice, video), and browser automation environments. ■ Technical Consulting & Lifecycle Delivery: Exceptional communication and consultative skills with proven experience in Agile transformation delivery lifecycles.

■ 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

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