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AI Engineering Leadership Role: Lead Delivery and Coordinate WorkstreamsThis is a senior role within the Data Science & AI Competency Center, where you will oversee the delivery of AI/ML/GenAI solutions. Your key responsibilities include leading architecture and deployment of scalable cloud infrastructures (Azure-focused), driving automation of infrastructure and model lifecycle pipelines, overseeing CI/CD processes for AI/ML/GenAI workloads, designing secure and scalable cloud infrastructures, acting as technical advisor for stakeholders and client-facing solution design, mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption.The ideal candidate will have 5+ years of experience in DevOps/Cloud Engineering with AI/ML/GenAI project experience. You must have expert proficiency in Linux and macOS administration; Windows is a plus. Additionally, you should have advanced Python and scripting skills (Bash/PowerShell) for automation and integration, deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins), strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms, a track record in delivering secure, production-ready solutions for AI/ML/GenAI, familiarity with monitoring, observability, and FinOps practices, excellent leadership, communication, and mentoring skills, and fluency in written and spoken English.

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