We are looking for an experienced Solution Architect to design and deliver large-scale, AI-enabled solutions for our clients. You will combine deep architectural expertise with hands-on knowledge of modern AI technologies, including Generative AI and machine learning platforms. You will own the solution from the first customer conversation through design and implementation to go-live, and act as a trusted technical advisor to both business and engineering stakeholders. Responsibilities Design large-scale solutions using at least one technology stack, including AI-powered and data-intensive systems Define and develop AI solution architectures (GenAI/LLM-based applications, RAG, ML pipelines, intelligent automation) and integrate them into enterprise landscapes Create solution architecture documents with deep technical detail Work closely with the business to identify solution requirements and key use cases and scenarios for future solutions Conduct solution architecture reviews and audits and prepare the related reports Lead solution implementation from establishing project requirements and goals through to go-live Oversee development efforts and provide technical guidance as needed Take part in the full cycle of pre-sales activities, including: direct communication with potential customers, RFP processing, developing proposals for solution design and implementation, presenting the proposed solution architecture to customers, and participating in meetings with customer representatives Participate in customer workshops and present proposed solutions Communicate directly with customers during solution design and implementation Stay on top of industry trends and best practices, including the fast-evolving AI landscape Create and follow a personal education plan in your technology stack and solution architecture Mentor colleagues in shaping their personal development plans Requirements 7+ years of hands-on development experience across various solution types (web applications, web services, desktop applications, native mobile applications) on J2EE or .NET platforms (JavaScript experience is a plus) 5+ years of experience developing relational and non-relational data storage systems 5+ years of team leadership experience 3+ years of experience in project management and direct customer communication Proven experience designing and delivering AI/ML or GenAI solutions in production Strong development background with JEE, .NET, and Content Management platforms Proficiency in the JavaScript stack Expertise in using libraries, frameworks, and patterns within specific technology stacks Skill in designing and implementing external service integrations (REST, SOAP, and/or ESB) Proven knowledge of cloud technologies and migration strategies, with experience building cloud-native solutions Strong experience with multiple full-lifecycle software development processes, including Scrum and RUP Hands-on experience with AI solutions, such as LLM-based applications, RAG architectures, vector databases, prompt engineering, and agentic workflows Experience with AI/ML platforms and cloud AI services (e.g., Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI) Understanding of MLOps/LLMOps practices, including model deployment, monitoring, and lifecycle management Awareness of responsible AI principles, including security, privacy, governance, and compliance in AI solutions Deep expertise in: web application architectures, web services architectures, relational and non-relational data storage, front-end and/or back-end architecture, and cross-cutting concerns (security, monitoring, caching, etc.) Strong understanding of mission-critical, scalable, and high-performance application architecture design Strong expertise in: architectural styles, enterprise architecture patterns, integration patterns, development patterns, architecture artifacts and deliverables, solution architecture design approaches and practices, and change management processes Proactive approach and leadership in architecture engagements Experience with customer-site assignments Strong communication skills Fluent English
