PwC is seeking an Agentic AI Cloud Engineer – Cloud Migration Platform to join our Cloud & Digital team. In this role you will design and build agent harnesses that enable reliable coding agents for cloud migration work, develop the platform’s engineering foundation (MCP servers, typed and testable tools, connectors to CMDB exports, Git repositories, Azure inventory, and Terraform state), and work hands-on with Azure and Terraform using Infrastructure as Code, DevOps, and CI/CD practices. You will build proof-of-concept and MVP web applications to validate ideas quickly and turn them into working demos for internal use and client conversations, and convert real migration project experience into reusable platform assets such as playbooks, reference architectures, and golden cases. You will track GenAI and agentic AI developments, test new agent capabilities, and share knowledge with the team. Requirements: strong foundation in cloud engineering or cloud architecture with at least 3 years of hands-on experience (Azure preferred; GCP or AWS also welcome); at least one cloud certification (e.g., Azure AZ-104, AZ-305, Terraform Associate); hands-on experience with GenAI and agentic components including MCP servers, skills, agentic loops, agent design, evaluations, and vector databases; experience with AI coding agents such as Claude Code, Cursor, or comparable tools; solid software engineering fundamentals including typed schemas, testing, maintainable code, and Infrastructure as Code such as Terraform, and CI/CD tooling (GitHub Actions, Azure DevOps, or GitLab CI); eagerness to

PwC is seeking an Agentic AI Cloud Engineer – Cloud Migration Platform to join our Cloud & Digital team. In this role you will design and build agent harnesses that enable reliable coding agents for cloud migration work, develop the platform’s engineering foundation (MCP servers, typed and testable tools, connectors to CMDB exports, Git repositories, Azure inventory, and Terraform state), and work hands-on with Azure and Terraform using Infrastructure as Code, DevOps, and CI/CD practices. You will build proof-of-concept and MVP web applications to validate ideas quickly and turn them into working demos for internal use and client conversations, and convert real migration project experience into reusable platform assets such as playbooks, reference architectures, and golden cases. You will track GenAI and agentic AI developments, test new agent capabilities, and share knowledge with the team. Requirements: strong foundation in cloud engineering or cloud architecture with at least 3 years of hands-on experience (Azure preferred; GCP or AWS also welcome); at least one cloud certification (e.g., Azure AZ-104, AZ-305, Terraform Associate); hands-on experience with GenAI and agentic components including MCP servers, skills, agentic loops, agent design, evaluations, and vector databases; experience with AI coding agents such as Claude Code, Cursor, or comparable tools; solid software engineering fundamentals including typed schemas, testing, maintainable code, and Infrastructure as Code such as Terraform, and CI/CD tooling (GitHub Actions, Azure DevOps, or GitLab CI); eagerness to