Solution Architect (.NET, Cloud, AI

We are looking for a Solution Architect / Senior Architect to drive architectural decisions, ensure system scalability and reliability, and collaborate across engineering, AI, and product teams.

You will play a key role in shaping the platform architecture and guiding technical direction across multiple services and integrations.

We are developing an enterprise-grade platform for contact centers that enables companies to deliver omnichannel customer experience across voice, chat, messaging, and AI-driven interactions.

• Active use of AI/ML components, including generative models and speech-to-text solutions;
• Microservices-based architecture;
• Dedicated services for communication processing, transcription, analytics, and AI functionality;
• Real production use in contact center environments.
• This is a mature product developed by a stable company with over 25 years in the market, operating at enterprise scale and impacting customers globally.

• Design and evolve system architecture for a complex distributed platform;
• Define and maintain technical standards and architectural guidelines;
• Conduct architecture reviews and support engineering teams;
• Ensure non-functional requirements: scalability, performance, reliability;
• Lead architectural decisions and system design initiatives;
• Integrate AI/ML components into the platform;
• Collaborate closely with product and business stakeholders;
• Provide technical leadership across cross-functional teams.

• 8–12+ years of software development experience;
• 3+ years in an Architect or Tech Lead role;
• Strong experience with the .NET ecosystem;
• Solid knowledge of cloud architecture (AWS and/or Azure);
• Hands-on experience with microservices architecture;
• Strong system design and architectural decision-making skills;
• Experience working with enterprise-level systems;
• English level: B2 or higher (spoken and written).

• Experience with AI / LLM-based solutions.
• Angular frontend;
• Real-time transcription technologies;
• Cloud environment (hybrid cloud setup);
• Integration with contact center platforms.
• Strong focus on architecture governance and standards;
• Cross-team collaboration with engineering, AI, and product teams;