Presale Solution Architect (AI)

Rubius Presale Solution Architect (AI) Work experience: 3–6 years Full-time Schedule: 5/2 Work format: remote

☑️ Responsibilities -Conduct meetings with clients, identify their business needs and translate them into technological solutions -Develop concepts and architectures for specific client tasks using vibe coding and AI tools -Create prototypes, PoCs, and demonstration solutions based on modern AI tools -Demonstrate the capabilities of AI technologies for business: generative AI, LLMs, AI assistants, process automation, intelligent systems -Participate in presale activities: preparation and defense of technical proposals, presentations, RFPs/RFIs, pilot projects for clients -Act as a technical expert in meetings with clients and internal teams -Help shape the roadmap for AI solution implementation -Hand over developed concepts and architectural solutions to development, assist the development team in understanding the context -Keep track of the AI market development and propose new approaches and technologies for clients

☑️ Candidate Requirements -Experience in the role of Solution Architect, Presale Architect, AI Consultant, Technical Consultant, or similar positions -Practical experience in creating prototypes, MVPs, or working systems -Confident command of modern AI tools and understanding of their capabilities and limitations -Good understanding of AI/ML system principles, including LLMs, machine learning, data pipelines, and AI integration into business processes will be a significant plus -Experience in solution architecture design: from idea and prototype to industrial operation -Development experience is a plus -Ability to quickly learn new technologies and assess their applicability -Broad technical knowledge and interest in AI market development -Ability to listen to the client, ask the right questions, and identify real business problems behind formal requests -Communication skills: ability to explain complex technical concepts in a simple and understandable way -Will be a plus: -Education or practical experience in Machine Learning, Data Science, Computer Science -Experience in developing AI/ML projects -Experience with cloud platforms (AWS, Azure, GCP) and AI services -Experience integrating LLMs and AI solutions into corporate systems -Experience in sales, presales, or consulting -Participation in client negotiations and deal support from idea to launch -Experience preparing technical proposals and presentations for business

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