Principal Architect

Principal Architect – AI / LLM / Agentic Systems Experience: 12–18 Years Location: US (Remote/Hybrid) Role Overview We are looking for a Principal Architect to lead the design and delivery of AI-first, agentic, and distributed systems . This role requires deep expertise in Python-based architectures, LLM integrations, and cloud-native systems , with the ability to translate complex business problems into scalable, intelligent solutions . You will define architecture strategy, guide engineering teams, and drive end-to-end solutioning for AI-powered platforms . Key Responsibilities Define and drive architecture for AI/LLM-powered systems and agentic workflows Design RAG pipelines, multi-agent systems, and intelligent orchestration layers Architect scalable backend systems using Python Build and guide implementation of distributed, event-driven architectures Lead cloud-native solution design (AWS / Azure / GCP) Define system integration patterns across APIs, microservices, and AI services Ensure performance, scalability, security, and cost optimization Provide technical leadership, mentoring, and architectural governance Collaborate with product and business teams to shape solution strategy Must-Have Qualifications 12+ years of experience in architecture / senior engineering roles Strong expertise in Python-based system design and development Hands-on experience with LLMs, RAG architectures, and AI integrations Experience building agentic systems / multi-agent architectures Strong understanding of distributed systems and microservices architecture Experience with cloud platforms (AWS / Azure / GCP) Expertise in API design, system integration, and scalable backend architectures Strong problem-solving, system design, and architectural decision-making skills Good-to-Have Experience with frameworks like LangChain or LlamaIndex Exposure to Model Context Protocol (MCP) or similar agent frameworks Experience with Vector Databases (FAISS, Pinecone, Weaviate) Knowledge of streaming systems (Kafka, event-driven pipelines) Experience with DevOps, CI/CD, and platform engineering What Makes This Role Unique Opportunity to architect next-gen AI-first platforms and agentic systems High ownership in defining enterprise-scale AI architecture strategy Blend of deep tech (AI + distributed systems) and business impact Work on cutting-edge GenAI use cases in production environments