What success looks like in this role:
Design and lead the evolution of enterprise-wide AI platforms and architecture to enable AI-powered products, intelligent workflows, and scalable digital transformation. This role combines enterprise architecture, platform engineering, and AI delivery to build solutions that are secure, scalable, and operationally viable. The AI Platform Architect ensures end-to-end alignment from strategy through implementation, balancing innovation, governance, and enterprise usability.
Responsibilities:
Define and drive enterprise architecture strategy across AI, data, cloud, and platform ecosystems
Architect and evolve enterprise AI platforms, including LLM pipelines, RAG systems, and agentic workflows
Design intelligent applications, copilots, and conversational AI solutions embedded into business processes
Lead end-to-end solution architecture, from concept and prototyping through implementation and scale
Develop target architectures, reusable patterns, and capability roadmaps for AI adoption
Design and manage hybrid, multi-cloud,
and on-prem infrastructure (AWS, Azure, GCP, GPU settings)
Define and implement API strategy, integration patterns, and enterprise governance frameworks
Establish DevSecOps practices, including CI/CD, Infrastructure as Code, and automated deployment pipelines
Architect data platforms, knowledge systems, and analytics capabilities to enable AI and decision-making
Enable enterprise integration across ERP, CRM, data platforms, and workflow systems
Ensure security, compliance, and responsible AI practices aligned with regulatory requirements
Lead hands-on prototyping and solution validation to accelerate delivery and reduce risk
Provide senior stakeholder and board-level advisory on architecture decisions, risks, and trade-offs
Drive vendor evaluation, technology selection, and AI tooling strategy
Support and mentor engineering teams to ensure effective execution of architecture de
📌 Senior Principal Ai Platform Architect Bengaluru (India)
🏢 Unisys
📍 India