JD – Solution Architect

We are looking for a Solution Architect to bridge the gap between advanced Data

Science and production-grade applications. You will be responsible for designing the

end-to-end architecture for Agentic AI systems, Chatbots, and Voice-enabled

solutions, ensuring they are seamlessly integrated into our application ecosystem.

Key Responsibilities

• Causal Model: Good exposure of causal implementation in supply chain or

commercial

• Recommendation: Design and architect solution for recommendation engine.

• Voice & NLP Solutions: Implement solutions involving Speech-to-Text (STT),

Text-to-Speech (TTS), and Natural Language Understanding (NLU) for

interactive user experiences.

• Microservices & APIs: Build and oversee API-first architectures to ensure

modularity and high availability using REST, GraphQL.

• AI/ML Integration: Hands-on experience with LangChain, AutoGPT, or

CrewAI for building autonomous agents.

• Technical Pre-requisites: Conduct feasibility studies and define technical

requirements (latency thresholds, throughput, and token management) before

project kickoff.

Technical Stack:

• Good knowledge and hands-on experience with Graph Databases (GraphDB),

including graph data modeling, querying, and integration with AI/ML ssolutions.

• Expertise in one of the programming languages like .Net or python with React and Node

JS, JavaScript

• Hands-on experience with LangChain, AutoGPT, or CrewAI for building autonomous

agents.

• Cloud Platforms: Deep knowledge of Azure AI Services (OpenAI, Speech Service)

• Hands-on experience in Azure for application/model deployment like azure app

service, or AKS.

• Strong understanding of CICD using Github action.