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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer - US Federal - Cloud and AI Infrastructure - **Company:** Cisco Systems, Inc. - **Location:** Herndon, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $197,600.0 - $249,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Data Centers, NetApp Applications, Network Architecture, Network Protocols, Virtualization Technology, Workflow Management Systems, AI Infrastructure, Hyperconverged Infrastructure, HybridCloud, Containerization, Kubernetes, Storage Technologies, Information Technology, Cisco, Docker - **Published:** July 3, 2026 - **Apply:** https://dejobs.org/x/x/ED94FC5C4E9A4F248B3B8E81404B52A3/job/ ## About the Role · *** This position will perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.*** · 5+ years of experience with any combination of Datacenter Networking, Storage, Compute, Apps, Big Data, Converged, Hyper-Converged, and AI infrastructure. · 5+ years of experience architecting and deploying networking, compute, or storage technologies, including the design of traditional DC standalone networking and spine-and-leaf architectures. · Significant expertise in end-to-end architecture and design for public, private, and hybrid cloud solutions, including Virtualization, X86 Architectures, and Operating Systems. · Extensive experience supporting the Department of Defense (DoD) in a pre-sales or post-sales consulting capacity. Preferred Qualifications · Active U.S. Government Secret or higher clearance, coupled with 5+ years of presales experience in the Federal Market. · CCIE Enterprise Infrastructure (RS) or CCIE Data Center certification, plus a Bachelor's or advanced degree in Computer Science, Engineering, or a related field. · Hands-on AI experience with vendors like Nvidia, VAST, Pure, Qumulo, Microsoft, Dell, NetApp, or HPE, and a deep understanding of how compute/network infrastructure enables AI workloads. · Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. · Excellent presentation skills with expert knowledge of networking protocols, enabling you to deliver engaging workshops to both technical and non-technical audiences. ## Description Join the dynamic Federal Cloud + AI Infrastructure team, dedicated to transforming data center customers by developing scalable strategies that drive growth. You will collaborate closely with Account Executives, Portfolio Account teams, and customer leadership to shape effective go-to-market and product placement strategies. As a vital link between technical teams, executives, and partners, you will be at the forefront of fostering education, building enthusiasm, and showcasing the immense potential of Cisco's AI solutions across the Federal government sector. Your Impact · Lead presales efforts for Cisco's Cloud and AI Infrastructure solutions across Federal government sectors by identifying client needs and tailoring AI solutions to meet them. · Serve as the subject matter expert in Data Center, AI Compute, Storage, and Networking to design and showcase solutions that enhance customer business operations. · Engage in hands-on presales activities, including delivering demonstrations, leading workshops, and creating architectural designs that highlight the value of Cisco's offerings. · Build awareness and drive enthusiasm for AI among internal sales teams, partners, and customers by effectively promoting the tactical and technical benefits of AI products. · Act as the crucial link between technical teams, account teams, and customers to design, develop, and promote AI solutions while navigating and solving complex challenges (requires over 25% travel). ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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