AI Platform Engineer with DevOps Experience Job Type: Full Time Location: Halifax (Onsite 4 Days) We are seeking an experienced AI Platform Engineer with DevOps Experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The ideal candidate will have strong software engineering skills, hands-on experience with CI/CD pipelines, and knowledge of LLMOps and MLOps frameworks for deploying and managing AI-powered applications. Key Responsibilities Develop value-added services that integrate with existing DevOps platforms and tools. Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy. Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs). Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance. Build reusable AI services to support enterprise application teams. Coach application teams on DevOps tools, automation, and best practices.



Promote developer experience, engineering excellence, and continuous improvement. Participate in proof of concepts (POCs), evaluate new tools, and recommend suitable technologies. Enhance and evolve DevOps services to meet application team requirements. Collaborate with cross-functional teams to deliver reliable, scalable, and production-ready solutions. Required Skills Robust software engineering experience across the software development lifecycle (SDLC). Strong experience with DevOps practices and CI/CD pipeline development. Hands-on experience with GitHub Actions and Jenkins. Experience with Docker or Kubernetes. Knowledge of AI/GenAI platforms, LLMOps, and MLOps. Understanding of application and system design patterns. Experience working in Agile/Scrum environments. Strong analytical, communication, ownership, and problem-solving skills. #J-18808-Ljbffr

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📍 Halifax Regional Municipality