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High due to Tier-1 brand, metro hiring, and broad cloud+AI skill requirements.
Medium because cloud and AI skills are transferable, but enterprise healthcare nuances slightly reduce portability.
High because 10+ years plus mandatory Azure, Terraform, Kubernetes, Databricks, and AI tech stack are required.
Design, implement, and manage enterprise-scale Azure cloud solutions including infrastructure as code and CI/CD pipelines.
Develop and deploy AI and Generative AI applications, bots, and intelligent automation integrating Azure AI Services and large language models.
Provide technical leadership for AI and cloud modernization initiatives, mentoring teams and driving AI adoption to optimize operations.
10+ years of overall IT experience, including 5+ years in Azure Cloud technologies.
Proficient with Azure Platform Services, Azure Databricks, Terraform, GitHub Actions, CI/CD, Kubernetes, networking, and monitoring.
Hands-on experience building AI solutions using Azure OpenAI, Microsoft Copilot Studio, Prompt Engineering, Retrieval Augmented Generation (RAG), and large language model integration.
Strong scripting skills in Python, PowerShell, or Bash.
Experienced in architecting scalable Azure cloud environments with Infrastructure as Code and GitOps practices.
Skilled in integrating AI and generative AI capabilities into enterprise platforms with emphasis on automation and operational optimization.
Capable of leading complex AI/cloud projects, mentoring teams, and collaborating with business and technical stakeholders to drive AI transformation.