Principal Architect

Principal Architect – AI / LLM / Agentic Systems

Experience: 12–18 Years
Location: US (Remote/Hybrid)

Role Overview

We are looking for aPrincipal Architect to lead the design and delivery ofAI-first, agentic, and distributed systems. This role requires deep expertise inPython-based architectures, LLM integrations, and cloud-native systems, with the ability to translate complex business problems intoscalable, intelligent solutions.

You will define architecture strategy, guide engineering teams, and driveend-to-end solutioning for AI-powered platforms.

Key Responsibilities

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  Define and drivearchitecture for AI/LLM-powered systems and agentic workflows
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  DesignRAG pipelines, multi-agent systems, and intelligent orchestration layers
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  Architectscalable backend systems using Python
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  Build and guide implementation ofdistributed, event-driven architectures
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  Leadcloud-native solution design (AWS / Azure / GCP)
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  Definesystem integration patterns across APIs, microservices, and AI services
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  Ensureperformance, scalability, security, and cost optimization
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  Providetechnical leadership, mentoring, and architectural governance
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  Collaborate with product and business teams to shapesolution strategy

Must-Have Qualifications

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  12+ years of experience inarchitecture / senior engineering roles
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  Strong expertise inPython-based system design and development
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  Hands-on experience withLLMs, RAG architectures, and AI integrations
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  Experience buildingagentic systems / multi-agent architectures
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  Strong understanding ofdistributed systems and microservices architecture
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  Experience withcloud platforms (AWS / Azure / GCP)
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  Expertise inAPI 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 toModel Context Protocol (MCP) or similar agent frameworks
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  Experience withVector Databases (FAISS, Pinecone, Weaviate)
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  Knowledge ofstreaming systems (Kafka, event-driven pipelines)
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  Experience withDevOps, CI/CD, and platform engineering

What Makes This Role Unique

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  Opportunity to architectnext-gen AI-first platforms and agentic systems
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  High ownership in definingenterprise-scale AI architecture strategy
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  Blend ofdeep tech (AI + distributed systems) and business impact
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  Work oncutting-edge GenAI use cases in production environments