Experience: 7–8 Years
Employment Type: Full-Time
Work Mode:Remote

We are looking for an experienced Generative AI / AI Architect to design and build enterprise-grade AI solutions using Generative AI, Agentic AI, RAG, LLMs, Vector Search, and Semantic Retrieval.

Primary Skills
- Generative AI & Agentic AI
- RAG Architecture & LLM-Based Solutions
- Vector Search & Semantic Retrieval
- AI Platform Architecture
- LLMOps & AI Application Development
- Python
- AI Governance & Responsible AI
- Enterprise AI Integration

Secondary Skills
- LangChain, LangGraph, Semantic Kernel, LlamaIndex
- AutoGen, CrewAI
- Azure OpenAI, Azure AI Foundry
- AWS Bedrock, Vertex AI
- Anthropic, OpenAI
- Chroma DB, Azure AI Search
- Knowledge Graphs & Hybrid Search
- Transformer Models & Embeddings
- Responsible AI
- Healthcare / Insurance domain experienc

Key Responsibilities
- Architect and develop scalable Generative AI and Agentic AI solutions for enterprise use cases.
- Design RAG pipelines, semantic/hybrid search, embeddings, vector databases, and knowledge-based AI systems.




- Develop LLM-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI.
- Integrate foundation models and AI services across Azure, AWS, and Google Cloud.
- Design AI platforms with focus on security, scalability, observability, governance, and responsible AI.
- Implement LLMOps practices for deployment, monitoring, evaluation, and continuous improvement.
- Collaborate with engineering, data, product, and business teams to translate enterprise requirements into AI solutions.
- Drive enterprise AI integration and identify opportunities for automation and intelligent decision-making.

Preferred Profile
- 7–8 years of experience in software, AI/ML, data, or related engineering roles.
- Strong hands-on experience building and deploying GenAI/LLM applications.
- Robust understanding of RAG, LLM architecture, embeddings, vector search, semantic retrieval, and A

📌 Lead AI Engineer (India)
🏢 WebSenor InfoTech
📍 India