Principal Architect

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

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• Define and drive architecture for AI/LLM-powered systems and agentic workflows
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• Design RAG pipelines, multi-agent systems, and intelligent orchestration layers
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• Architect scalable backend systems using Python
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• Build and guide implementation of distributed, event-driven architectures
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• Lead cloud-native solution design (AWS / Azure / GCP)
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• Define system integration patterns across APIs, microservices, and AI services
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• Ensure performance, scalability, security, and cost optimization
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• Provide technical leadership, mentoring, and architectural governance
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• Collaborate with product and business teams to shape solution strategy

Must-Have Qualifications

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• 12+ years of experience in architecture / senior engineering roles
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• Strong expertise in Python-based system design and development
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• Hands-on experience with LLMs, RAG architectures, and AI integrations
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• Experience building agentic systems / multi-agent architectures
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• Strong understanding of distributed systems and microservices architecture
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• Experience with cloud platforms (AWS / Azure / GCP)
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• Expertise in API design, system integration, and scalable backend architectures
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• Strong problem-solving, system design, and architectural decision-making skills

Good-to-Have

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• Experience with frameworks like LangChain or LlamaIndex
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• Exposure to Model Context Protocol (MCP) or similar agent frameworks
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Experience with Vector Databases (FAISS, Pinecone, Weaviate)

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• Knowledge of streaming systems (Kafka, event-driven pipelines)
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• Experience with DevOps, CI/CD, and platform engineering

What Makes This Role Unique

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• Opportunity to architect next-gen AI-first platforms and agentic systems
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• High ownership in defining enterprise-scale AI architecture strategy
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• Blend of deep tech (AI + distributed systems) and business impact
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• Work on cutting-edge GenAI use cases in production environments