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