Agentic Platform Architect

Quick Facts

• Role: Agentic Platform Architect

Description

You will lead the architecture and evolution of an enterprise-grade Agentic AI platform by defining its vision, architecture standards, and governed, secure, and scalable AI capabilities. You’ll collaborate with cross-functional engineering and architecture leaders to build reusable platform components that enable enterprise AI adoption and responsible AI practices.

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 through architecture standards, best practices, and governance

• Provide technical leadership and collaborate with engineering teams to ensure consistent implementation of architectural decisions

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 RAG

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

• Excellent stakeholder management, communication, and technical leadership skills

• Professional English (written and spoken)

Benefits

• Competitive compensation depending on qualification and skills

• Career development system with clear skill qualifications

• Flexible working hours aligned to your schedule

• Options to work remotely