Solutions Architect jobs at Cisco in United States, Atlanta

The application window is expected to close on 9/9/25

NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

The Cloud + AI Infrastructure (CAI) team delivers scalable strategy with local execution for data center customer transformation and growth. The CAI Global Enterprise Segment desires to bring onboard a hardworking Solutions Engineer (SE), that will be working as a trusted advisor and partner to top Enterprise Organizations.

Your Impact

As a Cloud and AI Infrastructure Solutions Engineer, you will play a pivotal role in facilitating the success of the Cisco Field Sales teams in selling and positioning data center virtualization and system architecture solutions effectively against competing offerings.

• Partner with our Account Executives in a pre-sales technical role, showcasing Cisco product solutions-setting up demonstrations and explaining features and benefits to customers-and designing and configuring products to meet specific customer needs
• Build awareness, fostering education and driving energy for Cloud and AI with both internal and external team members, partners, etc.
• Act as a link between technical teams, account teams, executives, partners/customers.
• Play a meaningful role in the design, development and promotion of the technical solutions and address challenges.
• Travel as needed to meet with clients and attend industry events.
• Keep up to date on relevant competitors’ solutions, products and services
• Deliver and/or support delivery of technical presentations to customers, as well as deliver architecture selling concept and methodology to customers
• You are passionate about the customer experience and excited about new technology
• You are a true teammate and love to learn

You demystify complex technology solutions to senior technical leaders and executives. You have experience in designing scalable data center networking fabrics for high performing GPUaaS workloads. Experience with all related DCN networking protocols & products: ethernet, IP, switching, routing, fast convergence, QoS, EVPN, ACI, VXLAN, etc. Storage networking protocols: fibre channel, iSCSI, NFS/CiFS, storage multi-pathing, RoCE, InfiniBand. You can understand complex technical and selling situations and know how to handle the challenges or solicit the required resources.

**This role requires a deep understanding of Data Center Compute and Networking.

Minimum Qualifications

• 5+ years of related experience and/or Cisco experience required.
• Confirmed technical knowledge and consultative skills and able to train and disseminate information.
• Knowledge and understanding of networking protocols and technologies
• Verifiable written and verbal communication, listening, negotiation and presentation skills.

Preferred Qualifications

• 6+ years knowledge of any combination of Datacenter, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience
• Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on Data Center, Cloud, and/or AI topics
• Experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
• Experience working with and/or supporting containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
• Experienced in the design and/or deployment of Data Center solutions including traditional DC standalone design, VXLAN and SDN solutions (Cisco ACI, NXOS EVPN)
• Expert level certification in the DCN space; CCNP, CCIE R&S and/or Data Center CCIE certification highly desirable and/or preferred

The application window is expected to close September 15, 2025.Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

• Engage with assigned customer accounts to accelerate their value realization by assisting in the deployment of Nexus Smart Switches and Hypershield into customer networks to ensure their success.
• Build deep technical relationships with key customer team members and be a trusted advisor
• Bring your customer's expertise to collaborate with engineering and support teams to unblock customer issues
• Build and conduct workshops, training material, reference architectures, product documentation, and any relevant artifacts that would help us provide additional value to our customers, deepen their understanding of our technology, and run the most reliably in production

Minimum Qualifications

• Minimum of 3 years of experience configuring and managing Cisco Nexus switches or Cisco devices OR minimum of 5 years of experience configuring and managing networking infrastructure from another major vendor
• Minimum of 3 years of experience with Linux
• Minimum of 1 year of experience with at least one major cloud provider (AWS, Azure, or GCP)
• Minimum of 1 years of experience securing operating system (OS) instances, applications, and/ordistributed systems

Preferred Qualifications

• Knowledge of standard methodologies for operating systems security and their application in cloud-native technologies and environments
• Evidence of direct experience using network troubleshooting tools, including but not limited to packet capture and analysis utilities
• Proven familiarity with tools and technologies for automating repetitive tasks
• Experience with designing and implementing security solutions across multiple platforms
• A solid understanding of the pillars of observability
• Prior experience working with and supporting open source software (OSS)
• Ability to provide well-structured reasoning and insights about various cloud-native technologies and security frameworks
• Demonstrated ability to make informed recommendations based on technical and business needs
• Possessing CCNP Data Center, CCNP Enterprise, DevNet Professional, CCIE Data Center, CCIE Enterprise, or DevNet Expert certifications will be a key advantage.

The application window is expected to close on: 9/9/25

NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Applicants are expected to live within the regions noted in the requisition - those who

live outside of the eastern US will not be considered for this geo specific role.

The Cloud + AI Infrastructure team delivers a scalable strategy with localized

Americas go-to-market engine for compute and data center networking, capturing

Working alongside our colleagues, Cloud & AI Infrastructure develops sales

strategies, activates sellers and technical communities, and accelerates the sales

Your Impact

sales team. In this role, you will drive the adoption of our AI infrastructure solutions

across various industries. You will identify potential clients, understand their specific

position requires a deep understanding of AI infrastructure technologies and

experience in conveying technical concepts to a diverse audience.

You will build awareness, foster education, and drive enthusiasm for AI among

internal team members, external partners, and other stakeholders. You will serve as a

partners/customers. Additionally, you will showcase Cisco AI infrastructure solutions,

highlighting their potential and promoting their tactical and technical benefits. You will

play a vital role in the design, development, and promotion of AI solutions,

addressing any challenges that arise. Travel will be required as needed to meet with

clients and attend industry events.

Minimum Qualifications

4+ years of technical pre-sales experience selling compute, storage, and network solutions or similar cloud-based AI infrastructure.

Understanding and experience with AI/ML (Transformers, Deep Neural Networks, Reinforcement learning, ETL, Data Engineering, Data Processing PyTorch, Model Operations, AI Frameworks e.g. Langchain or similar)

Understanding of hardware accelerators like GPUs and DPUs, including how they are utilized and sized to scale AI infrastructure.

Preferred Qualifications

Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering or a related field. An advanced degree is a plus.

Excellent presentation and communication skills, with the ability to deliver engaging workshops on AI topics to both technical and non-technical audiences.

Experience with AI solutions from vendors such as Nvidia, AMD, Intel, Microsoft, Google, Meta, Dell, HPE, and other AI vendors.

In-depth understanding of language models, including but not limited to GPT-3, LLaMA, BERT, or similar architectures.

Experience in deploying large language models (LLMs) from Hugging Face in training, fine-tuning and distributed inferencing environments.

Familiarity with popular AI frameworks such as PyTorch and TensorFlow

Experience with popular databases like Oracle, MySQL, and MongoDB. AI vector databases like Chroma and AI data platforms like VAST

Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.