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Senior Consultant AI Business Analyst

  • Source: Naukri
  • Embarkgcc Services
  • $10,509.58 to $21,019.16 /yr
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Role Description:

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 design 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 organization-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 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.

Skills

  • microsoft-azure
  • openai
  • LangChain
  • workspace

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