Job Summary

We are looking for a hands-on AI Architect with strong expertise in Generative AI, LLMs, RAG, and Agentic AI to design and deliver scalable, secure, production-grade enterprise AI solutions.

Key Responsibilities
Design end-to-end GenAI, LLM, RAG, and Agentic AI architectures.
Design and implement Multi-Agent systems, agent orchestration, tool calling, memory, and workflows.
Architect scalable RAG pipelines, including embeddings, vector search, hybrid search, re-ranking, and retrieval optimization.
Define architecture decisions considering scalability, performance, security, latency, and cost.
Integrate LLM solutions with enterprise applications, APIs, databases, and microservices.
Lead AI solution design across Azure / GCP.
Implement MLOps/LLMOps, CI/CD, monitoring, observability, and AI governance.
Provide technical leadership, architecture reviews, mentoring, and client-facing solutioning.





Required Skills
10+ years of software engineering experience with 4+ years in AI/ML/GenAI.
Solid hands-on experience in GenAI, LLMs, RAG, and Agentic AI.
Solid proficiency in Python and experience with FastAPI / REST APIs / Microservices.
Experience with LangChain / LangGraph / LlamaIndex / Semantic Kernel or equivalent.
Experience with OpenAI / Azure OpenAI / Claude / Gemini / LLaMA or equivalent LLMs.
Strong knowledge of Vector Databases – Pinecone, FAISS, Milvus, Chroma, Azure AI Search, etc.
Experience with Docker, Kubernetes, distributed systems, API orchestration, and asynchronous workflows.
Experience with Azure / GCP.
Solid understanding of AI security, governance, responsible AI, and LLM observability.

📌 Ai Architect Bengaluru
🏢 kanini software solutions
📍 Bengaluru