AI Architect

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.

• 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.

• 10+ years of software engineering experience with 4+ years in AI/ML/GenAI.
• Strong hands-on experience in GenAI, LLMs, RAG, and Agentic AI.
• Strong 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.
• Strong understanding of AI security, governance, responsible AI, and LLM observability.