Agentic Platform Architect

12+ years of overall experience in software engineering, platform engineering, or enterprise technologyProven experience in platform architecture and designing enterprise-scale cloud-native platformsStrong knowledge of microservices architecture, API-led integration, and distributed systemsHands-on experience with public cloud platforms (AWS, Azure, or Google Cloud)Solid understanding of security architecture, identity and access management, and enterprise security best practicesExperience with DevSecOps, CI/CD pipelines, and infrastructure automationExperience designing AI/ML or Generative AI platforms in enterprise environmentsStrong understanding of Large Language Models (LLMs), AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG)Experience establishing architecture standards, governance models, and reusable platform capabilitiesExcellent stakeholder management, communication, and technical leadership skillsProfessional English, both written and spokenNice to haveCloud architecture certifications (AWS, Azure, or Google Cloud)Experience working in large-scale distributed engineering organizations We are looking for an experienced Agentic Platform Architect to lead the architecture and evolution of an enterprise-grade Agentic AI platform. In this role, you will define the platform vision, establish architecture standards, and drive the development of scalable, secure, and governed AI capabilities across the organization.You will collaborate with cross-functional engineering teams, architects, and technology leaders to design reusable platform components, enable AI adoption, and ensure alignment with enterprise architecture principles and responsible AI practices. ,[Define and govern the end-to-end architecture of the enterprise Agentic AI platform, Design the AI Gateway and model access architecture, Define identity, authentication, authorization, and token management patterns for AI agents, Establish platform governance, security guardrails, and responsible AI controls, Define the Agentic SDK, orchestration framework, and reusable engineering standards, Design knowledge management, memory, and Retrieval-Augmented Generation (RAG) architecture, Define observability, evaluation, monitoring, and quality assurance frameworks for AI agents, Design agent deployment, release, and lifecycle management processes, Drive platform adoption by establishing architecture standards, best practices, and governance, Provide technical leadership and collaborate with engineering teams to ensure consistent implementation of architectural decisions] Requirements: AI, Enterprise Architect, Gateway, Security, Cloud platform, CI/CD Pipelines, Stakeholder management, DevSecOps, ML, AWS, Cloud architecture certifications Additionally: International projects, Sport subscription, Private healthcare, English lessons, Friendly atmosphere, Modern office, No dress code.