GenAI Architect | Generative AI | LLM | RAG | Agentic AI

Job Summary:

We are looking for an experienced GenAI Architect to design and lead enterprise-grade Generative AI and LLM solutions. The ideal candidate should have strong experience in RAG, Agentic AI, LLM orchestration, cloud AI platforms, vector databases, LLMOps, and AI security/governance.

Key Responsibilities:

• Design scalable and production-ready GenAI/LLM architectures.
• Architect RAG, Agentic AI, multi-agent workflows and context orchestration solutions.
• Work with Azure OpenAI, AWS Bedrock, OpenAI, Claude, Gemini, LLaMA, Mistral and other LLM platforms.
• Design solutions using Azure AI Search, Pinecone, FAISS, Weaviate and embeddings.
• Define LLMOps, including model deployment, evaluation, monitoring and prompt management.
• Design secure APIs, microservices and event-driven architectures.
• Implement AI security, Responsible AI, governance and compliance practices.
• Lead GenAI solutions from POC to production and provide technical leadership to engineering teams.

Required Skills:

Must Have:

• 10+ years overall IT experience
• GenAI / Generative AI / LLM
• RAG
• Agentic AI / AI Agents
• Azure OpenAI
• LLM orchestration LangChain / LangGraph / LlamaIndex
• Vector databases – Pinecone / FAISS / Weaviate / Azure AI Search
• LLMOps / AI evaluation / monitoring
• REST APIs / Microservices
• AI Security / Governance

Good to Have:

• AWS Bedrock / Google Vertex AI
• MCP
• Claude / Gemini / LLaMA / Mistral
• Kubernetes / Docker
• MLflow / LangSmith / RAGAS / DeepEval