AI Architect Data Scientist

You will lead the design and implementation of enterprise-scale AI solutions embedded directly into client product ecosystems. Your mission: architect and deliver scalable, high-load AI platforms that solve complex business challenges using Generative AI, Retrieval-Augmented Generation (RAG), intelligent automation, and modern cloud technologies. This is a strategic and hands-on role where you will define technical vision, guide architecture decisions, collaborate with engineering leadership, and actively participate in solution delivery when needed. 

• Design and architect scalable AI systems serving large numbers of users and enterprise workloads.
• Define end-to-end AI solution architectures including GenAI, RAG pipelines, chatbot platforms, and analytical systems.
• Collaborate with customers, engineering teams, and business stakeholders to translate business requirements into scalable technical solutions.
• Lead architecture decisions across cloud and data platforms including AWS, Databricks, Snowflake, and related ecosystems.
• Participate in presale activities by providing technical expertise, solution vision, and architectural guidance.
• Ensure system scalability, reliability, security, and performance for high-load distributed environments.
• Maintain a hands-on approach when required, contributing to architecture implementation, technical reviews, and critical engineering decisions.
• Mentor engineering teams and establish best practices for AI platform development and cloud-native architectures. 

• Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
• Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies.
• Global clients based in Europe and the US, including Fortune 500 companies.
• Employment security: We hire for our team, not just for a specific project. If your project ends, we will find you a new one.
• Healthy work atmosphere: On average, our employees stay with the company for 4+ years.
• Market-based compensation and regular performance reviews.
• Internal expert communities and courses.
• Perks to support your growth and well-being.

• 7+ years of experience in software engineering, solution architecture, and AI system development.
• Proven hands-on experience building and deploying AI systems for enterprise-scale or high-load environments.
• Strong expertise in software architecture, distributed systems, and cloud-native solution design.
• Experience with cloud and data platforms such as AWS, Databricks, or Snowflake.
• Practical experience designing and implementing RAG systems and GenAI-based solutions.
• Experience building AI-powered applications such as chatbots, intelligent assistants, or analytical AI systems.
• Proven track record designing scalable analytical and data-intensive systems.
• Strong understanding of modern AI/ML infrastructure, model integration patterns, and production deployment practices.
• Excellent communication and client-facing skills with the ability to explain technical concepts and architectural trade-offs clearly.
• English B2+. 

• Experience with Microsoft Azure or Google Cloud Platform.