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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Consultative Offerings - Summer Scholar - Infrastructure Engineering - **Company:** Deloitte T.T.L. - **Location:** Austin, TX, United States - **Salary:** $99,840.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cyber Security, Data Centers, Monitoring of Systems, Python (Programming Language), Network Management System, Windows PowerShell, Ansible, Systems Integration, AI Infrastructure, Scripting, High Performance Computing, Computer Network Technologies, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Cloudformation, AI Platforms, Terraform, Vmware - **Published:** September 18, 2026 - **Apply:** https://dejobs.org/x/x/2FDFD8DF18CF4939A46E726519E7CE6D/job/ ## About the Role * Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2028 pursuing a bachelor's degree or higher in a STEM-related discipline * Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future * Candidates must be at least 18 years of age at time of employment * You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, * Foundational knowledge of IT infrastructure domains: networking, operating systems, virtualization, cloud, IT security, and an interest in learning about AI infrastructure and/or high-performance computing concepts * Familiarity with scripting or automation tools (e.g., Python, PowerShell, Bash) * Hands-on exposure to building or deploying AI agents and LLM-powered applications-such as working with agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI), Model Context Protocol (MCP) integrations, or multi-agent orchestration-along with familiarity with prompt engineering, retrieval-augmented generation (RAG) pipelines, or fine-tuning workflows for real-world use cases * Experience or exposure to configuration/monitoring tools (e.g., VMware, AWS/Azure/GCP consoles, or network management tools) ## Description Are you ready to build and engineer the backbone of tomorrow's digital enterprise? At Deloitte, we empower you to deliver impactful infrastructure solutions that go far beyond keeping the lights on. Here, you'll turn your curiosity and technical skill into real-world systems that power business growth, innovation, and security. Join us to unlock your potential-and engineer what's next. Reach your exponential!, * Advise and Support Clients: Guide organizations through AI infrastructure and network transformation journeys, such as deploying AI Factories, edge computing solutions, modernizing legacy environments, or migrating workloads to the cloud. * Design and Deliver Solutions: Architect and implement comprehensive infrastructure solutions-including AI platforms, compute resources, storage, and networking-across cloud, on-premises, and hybrid environments. * Automate and Optimize: Implement automation for infrastructure deployment, management, and monitoring using industry-standard tools (such as Terraform, Ansible, or CloudFormation), including cost visibility and FinOps practices for GPU and AI workload spend driving efficiency and consistency. * Collaborate Across Teams: Work alongside multi-disciplinary teams-including AI architects, data scientists, and application developers-to deliver optimized infrastructure for AI workloads, business-critical applications, and HPC projects. * Stay Ahead of Trends: Maintain up-to-date knowledge of advancements in modern data centers, high performance computing, network technologies, AIOps and self-healing systems, ensuring innovative solutions for clients. You'll help shape client solutions that are resilient, dependable, and ready to support the emerging needs of tomorrow's digital enterprise. ## Related Videos - [Dev & Test in the Cloud? 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