Solution Architect
Remote
- Experience
- 8–12 years
- Employment
- Full-time
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-08-26
Required skills
| Skill | Experience | Level |
|---|---|---|
| cloud-based application architecture | 5+ years | Intermediate |
| Python | 5+ years | Intermediate |
| Node.Js | 5+ years | Intermediate |
| React | 5+ years | Intermediate |
| Microservices | 6+ years | Intermediate |
| Artificial Intelligence | 6+ years | Intermediate |
| .Net | 5+ years | Intermediate |
| Architecture | 5+ years | Intermediate |
| Langchain | 2+ years | Intermediate |
| Data Science | 3+ years | Intermediate |
| APIs | 6+ years | Intermediate |
| NLP | 4+ years | Intermediate |
| Chatbots | 5+ years | Intermediate |
| GraphDB | 3+ years | Intermediate |
| Azure OpenAI | 4+ years | Intermediate |
| Azure App Service | 4+ years | Intermediate |
| Agentic-AI | 6+ years | Intermediate |
About the role
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.