Location: Anywhere in India

Experience: 10–15+ Years

Employment Type: Full-Time | Permanent

Industry: Data, AI & Technology Consulting

About the Chance

We are seeking a highly experienced, hands-on Principal AI Architect to lead the architecture, design, and delivery of enterprise-scale Generative AI and Agentic AI solutions.

The ideal candidate will combine deep technical expertise in LLMs, RAG, multi-agent frameworks, Python, and cloud-native architecture with strong consulting, stakeholder management, and technical leadership capabilities.

This role requires someone who can move beyond AI prototypes and successfully deliver secure, scalable, production-ready enterprise AI solutions.

Key Responsibilities

- Architect and deliver enterprise-scale Generative AI, Agentic AI, and multi-agent systems .
- Design intelligent AI agents using LangChain, LangGraph, AutoGen, Semantic Kernel, or similar frameworks.
- Build advanced RAG, GraphRAG, semantic search, and enterprise knowledge retrieval solutions.
- Lead hands-on AI engineering using Python, FastAPI, REST APIs, and microservices.
- Design scalable cloud-native AI solutions using Azure OpenAI, AWS Bedrock, GCP, and related services.
- Implement LLMOps/MLOps, AI evaluation, observability, governance, and security frameworks.
- Establish production-ready AI architectures using Docker, Kubernetes, CI/CD, and cloud services.
- Lead technical solution design, architecture reviews, and engineering best practices.
- Collaborate with enterprise stakeholders to translate business requirements into scalable AI solutions.
- Support technical presales, solution proposals, architecture presentations, RFP/RFI responses, and effort estimations.
- Mentor AI engineers and architects while driving end-to-end technical delivery.

Must-Have Skills
1.



10+ years of overall technology experience , with strong recent hands-on AI/GenAI architecture experience.
2. Deep expertise in Generative AI, LLMs, Agentic AI, and multi-agent orchestration .
3. Hands-on experience with LangChain, LangGraph, AutoGen, Semantic Kernel , or equivalent agent frameworks.
4. Strong experience in RAG, vector databases, embeddings, semantic search , and enterprise knowledge systems.
5. Excellent programming skills in Python, FastAPI , and backend/microservices development.
6. Strong cloud architecture experience across Azure, AWS, or GCP .
7. Experience deploying production AI applications using Docker, Kubernetes, CI/CD, and MLOps/LLMOps .
8. Strong architecture ownership, technical leadership, and enterprise stakeholder engagement skills.

Good-to-Have Skills
- AI observability and evaluation using Langfuse, DeepEval, or similar tools.
- Human-in-the-loop workflows, agent memory, responsible AI, and governance.
- GraphRAG, MCP, advanced agent orchestration, and adaptive AI systems.
- Full-stack development using .NET, Angular, React, or Node.js.
- Experience in technical consulting, presales, RFP/RFI responses, and commercial solutioning.
- Databricks, enterprise data platforms, and data engineering exposure.

Why Join?
- Architect cutting-edge enterprise GenAI and Agentic AI solutions.
- Work on complex, real-world AI transformation initiatives.
- Take end-to-end ownership of AI architecture and technical delivery.
- Collaborate with senior enterprise stakeholders and engineering leaders.
- Play a key role in shaping enterprise AI adoption and innovation.

If Interested? Apply now or reach out to [email protected] directly for a confidential discussion.

Only shortlisted candidate will be notified.

Thank you!

Sapna Oberai

TechClover Pte. Ltd.

EA License No: 23S1705

Reg No: R24124924

📌 Principal AI Architect – Generative AI & Agentic AI (India)
🏢 TechClover
📍 India