At LeverX, we have had the privilege of delivering over 1,500+ projects for various clients. With 20+ years in the market, our team of 2,200+ is strong, reliable, and always evolving: learning, growing, and striving for excellence.

We are looking for an AI Architect Data Scientist to join us. Let’s see if we are a good fit for each other!

what we offer:

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.

Project:

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.

required skills:

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+.

nice-to-have skills:

Experience with Microsoft Azure or Google Cloud Platform.

responsibilities:

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.

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