Agentic Platform Architect

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.

Requirements:

• 12+ years of overall experience in software engineering, platform engineering, or enterprise technology

• Proven experience in platform architecture and designing enterprise-scale cloud-native platforms

• Strong knowledge of microservices architecture, API-led integration, and distributed systems

• Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud)

• Solid understanding of security architecture, identity and access management, and enterprise security best practices

• Experience with DevSecOps, CI/CD pipelines, and infrastructure automation

• Experience designing AI/ML or Generative AI platforms in enterprise environments

• Strong understanding of Large Language Models (LLMs), AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG)

• Experience establishing architecture standards, governance models, and reusable platform capabilities

• Excellent stakeholder management, communication, and technical leadership skills

• Professional English, both written and spoken

Nice to have:

• Cloud architecture certifications (AWS, Azure, or Google Cloud)

• Experience working in large-scale distributed engineering organizations

Responsibilities:

• 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

We offer:

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota

• Competitive compensation that depends on your qualification and skills

• Career development system with clear skill qualifications

• Flexible working hours aligned to your schedule

• Options to work remotely