Solutions Architect (GenAI, Python/Data, AWS)

📋 Description Design and build cloud-native data, LLM-based, and agentic AI solutions. Implement and optimize RAG systems for production use. Own the technical direction of client engagements; go-to authority. Write production-grade Python for AI integrations, backend services, and REST APIs. Deploy ML/LLM-based solutions and implement MLOps, LLMOps, and AgentOps. Lead architecture reviews, design docs, and mentor engineers. 🎯 Requirements Mindset: Full-stack across AI, backend, and cloud. Using AI tools in daily workflow (Claude Code, Copilot, etc.). Proactive and self-directed; own outcomes end-to-end. B2+ English; collaborate across distributed teams. Hands-on experience building production LLM-based apps. Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock). 🎁 Benefits Cutting-edge AI and cloud solutions. Internal training programs and certifications. Career growth toward senior architect roles. Remote with flexible hours. Private medical insurance. Paid sick leave, vacation, and public holidays.