- ₹ 25 – 30 Lakh/Year (Annual salary)
- Longterm (Duration)
- Fully Remote
- India
Lead Solution Architect
Job Overview:
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. The ideal candidate understands that an AI solution is only as good as its integration, security, and scalability. You will define the infrastructure prerequisites, oversee API-driven microservices, and lead the alignment between Data Engineering and Application development teams
Key Responsibilities
• AI Integration Architecture: Design and implement architectures for integrating LLMs(Large Language Models), Agentic AI workflows, and specialized Data Science modelsinto web and mobile applications.
• Voice & NLP Solutions: Architect solutions involving Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Understanding (NLU) for interactive user
experiences.
• Infrastructure Design: Define the infrastructure prerequisites (GPU/CPU requirements, Vector Databases like Pinecone/Weaviate, and Scalable Storage) needed to support AI workloads.
• 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 forbuilding autonomous agents.
• Data Security & Privacy: Implement robust security frameworks for AI, including PIImasking, data encryption at rest/transit, and ensuring compliance with global dataresidency laws.
• Cross-Functional Alignment: Act as the “glue” between Data Engineering (datapipelines/feature stores) and Application teams (frontend/backend) to ensure acohesive end-to-end flow.
• Technical Pre-requisites: Conduct feasibility studies and define technical requirements(latency thresholds, throughput, and token management) before project kickoff. Technical Stack:
• Expertise in one of the programming languages like .Net or python with React and NodeJS, JavaScript
• Hands-on experience with Lang Chain, 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.
Job Type
Payroll
Categories
AI Solution Architect (Others)
Cloud Solution Architect (Others)
Enterprise Architect (Others)
Solution Architect (Others)
Technical Architect (Others)
Must have Skills
- Azure – 4 YearsIntermediate
- Python – 8 YearsIntermediate
- Langchain – 4 YearsIntermediate
- .Net – 8 YearsIntermediate
- React – 8 YearsIntermediate
- Node.Js – 7 YearsIntermediate
- JavaScript – 7 YearsIntermediate
- AutoGPT – 3 YearsIntermediate
- CrewAI – 3 YearsIntermediate
- Azure AI services – 3 YearsIntermediate
- Agentic-AI – 3 YearsIntermediate
- Voice & NLP Solutions – 4 YearsIntermediate
- Microservices – 3 YearsIntermediate
- AI/ML integration – 3 YearsIntermediate
M Rise Group 