AI Native Solution Architect

Responsibilities

• End-to-End Solution Architecture
• Design scalable, secure, and resilient architectures for enterprise AI systems, covering data pipelines, model integration, deployment, and monitoring
• Modern AI System
• Design: Architect advanced AI patterns, including RAG, agentic workflows, and hybrid AI architectures using vector databases and graph frameworks
• Strategic Product & Tech Alignment
• Translate complex business goals and product roadmaps into technical specifications, architecture blueprints, and clear delivery backlogs
• Technical Leadership & Mentorship: Guide engineering teams on implementation best practices, design patterns, coding standards, and system maintainability
• Technology Evaluation & Strategy
• Lead technical discovery, vendor evaluations, framework selections, and trade-off analyses (e.g., build vs. buy, open-source vs. proprietary APIs)
• Cross-Functional Collaboration

Languages

Required

• Deep hands-on and architectural experience with modern GenAI patterns (RAG, Multi-Agent systems, function calling, tool use) and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel)
• Cloud & LLMOps
• Strong background in cloud platforms (AWS, Azure, or GCP) and operationalizing models using
• Solid background in modern backend systems engineering, microservices, API design, and distributed systems

Nice to have

• Stakeholder Bridge: Exceptional communication skills with a proven ability to translate deep technical concepts into plain language for executive stakeholders and product leaders
• Excellent command of written and spoken English (B2+ level)

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