AI Business Analyst

Notice Period :immediate joiners preferred,

location : preference being Bangalore

We are seeking a strong AI Engineer or Consultant profile with extensive knowledge of generative AI solutions used in complex business settings. The ideal candidate will have a deep, comprehensive understanding of AI frameworks and techniques, particularly in autonomous agent development, memory management, contextualization with LLMs, and self-learning systems. In this role, the ability to explain, evaluate, and guide technical solutions is critical, even if hands-on coding or implementation is not the primary focus.

Key Capabilities/Depth of Understanding Expected:

Autonomous AI Agent Development: Strong conceptual grasp of leveraging LLMs and agentic AI frameworks to develop collaborative AI agents and orchestrate agent interactions.

Stateful Agents: Clear understanding of designing agents with long and short-term memory capacities, data handling, and knowledge retention.

Agent Contextualization: Comprehensive knowledge of methods for adapting LLMs or using RAG (Retrieval-Augmented Generation) to incorporate organisation-specific context and manage nuanced requirements.

Self-Learning and Reinforcement: Ability to articulate how AI agents can be designed for self-improvement and continuous learning.

Comprehensive Interface Development: Awareness of end-to-end interface requirements, including support for multi-modal inputs (voice, video), browser automations, and seamless user interaction.

Traceability and Explainability: Capability to ensure, demonstrate and communicate transparency and explainability within the AI process.

Ideal Candidate Profile

Education: Degree in Computer Science, AI, Machine Learning, Data Science or similar.

Experience: Minimum 5 years, with at least 3 years focused on AI/machine learning, GenAI, RAG, or agentic platforms. Deep technical understanding is essential; hands-on implementation is desirable but not mandatory.

Skills:

In-depth knowledge of LLM/agent frameworks like Azure OpenAI, Langchain, Autogen, Langgraph, Crew AI.

Understanding of how RAG-based GenAI solutions are developed, and how knowledge layers for AI agents are structured (e.g., vector db, knowledge graphs,etc.,).

Familiarity with design and operation of sandbox environments, browser automations, and workspace tools for agentic solutions.

Prior experience as a Business Analyst or Project Manager in AI/tech projects; familiarity with project delivery life cycles such as Agile.

Banking experience is beneficial.

Exceptional communication skills, with the ability to clearly explain technical details and rationale.

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Work Location: In person