Senior Principal AI Platform Architect

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 environments) 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 designs What You Bring Enterprise Architecture & Platform Strategy Strong experience in enterprise and solution architecture across complex environments Ability to define architecture principles, governance models, and long-term technology strategy Expertise in platform thinking and enterprise system design AI & Data Platforms Experience with AI/ML platforms, including LLMs, RAG, semantic search, and agent-based systems Understanding of AI-enabled workflows, knowledge systems, and enterprise AI adoption Ability to design scalable, production-grade AI platforms Cloud, Infrastructure & Engineering Strong foundation in cloud (AWS, Azure, GCP), hybrid, and on-prem architectures Experience with GPU infrastructure, model deployment, and inference optimization Proficiency in APIs (REST, GraphQL), microservices, and distributed systems Hands-on experience with DevSecOps, CI/CD pipelines, and Infrastructure as Code (Terraform) Data, Integration & Security Knowledge of data platforms, ETL, data warehousing, and analytics systems