Associate Manager - GenAI Platform Architecture

Job Description

We are seeking an innovative GenAI Architect AM to lead the design and development of next-generation AI platforms with cutting-edge Retrieval-Augmented Generation (RAG) capabilities. This role demands deep expertise in Large Language Models (LLMs), Schema RAG, Agentic-RAG, Knowledge Graphs, and Model Context Protocols (MCP). You will be responsible for building secure, scalable, and intelligent GenAI systems that drive value across enterprise use cases. As a thought leader, you will collaborate with cross-functional teams to architect intelligent solutions that integrate the latest in AI infrastructure, orchestration, and observability. Responsibilities Architect scalable GenAI platforms leveraging advanced RAG methods including Traditional RAG, Schema RAG, and Agentic-RAG. Design and implement multi-agent orchestration using Model Context Protocols (MCP) and Agent-to-Agent (A2A) patterns. Integrate Knowledge Graphs with vector databases such as FAISS, pgvector, and Pinecone for context-rich retrieval. Lead prompt pipeline design and observability using tools like Langfuse, LangGraph, and DSPy. Define end-to-end system architecture, including DevOps workflows, secure API gateways, and cloud-native deployment strategies. Mentor and guide cross-functional teams on best practices in system design, LLM integration, and AI reliability. Ensure systems adhere to security, privacy, and compliance standards such as HIPAA and GDPR. Must Have Hands-on expertise with LangChain, DSPy, LangGraph, and Python frameworks like FastAPI. Strong understanding of vector databases (FAISS, Pinecone, pgvector) and graph technologies (Neo4j). Experience with cloud platforms such as AWS (Lambda, ECS, IAM, Bedrock), Azure, or GCP. Proficient in DevOps tooling (Docker, Terraform, GitHub Actions) and prompt evaluation workflows. Knowledge of secure API design, token lifecycle management, and hallucination mitigation strategies. Deep understanding of LLM architectures, multi-agent systems, and RAG pipeline optimization. Innovative, strategic thinker with strong problem-solving skills and a passion for mentoring. Excellent communication, documentation, and system design capabilities. Demonstrates innovation, adaptability, and a continuous improvement mindset.