Senior Consultant AI Business Analyst

Embarkgcc Services; Hyderabad, Pune District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Embarkgcc Services is seeking an experienced AI/GenAI specialist to lead autonomous agent development. The role focuses on building collaborative AI agents, orchestrating interactions, and integrating long- and short-term memory systems to manage complex tasks.

The ideal candidate will have a CS/AI degree and at least five years in AI/ML, with hands-on experience in GenAI, RAG, and related frameworks. Excellent communication and ability to explain technical decisions are essential.

Qualifications

• Minimum 5 years in AI/ML with at least 3 years in GenAI or agentic platforms.
• Hands-on implementation experience is desirable but not mandatory.
• Strong knowledge of LLMs and agent frameworks.

Responsibilities

• Develop autonomous AI agents and orchestrate interactions.
• Design agents with memory and data handling capabilities.
• Incorporate RAG and knowledge layers for context.
• Ensure explainability and traceability of AI processes.

Skills

Autonomous AI Agents

Stateful Agents

Agent Contextualization

Self-Learning

Interface Development

Traceability/Explainability

Education

Bachelor's degree in CS/AI/ML/Data Science

Tools

Azure OpenAI

Langchain

Autogen

Langgraph

Crew AI

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.