Systems Architect AI - Germany.

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Preferred Location: Any major Cisco office in Germany

Grade: 12

Meet the Team

After our recent financial success and surpassing key targets ahead of schedule, our momentum in AI continues to accelerate. These achievements have empowered us to further invest in our AI Sales Team. To meet the growing demand, we are now looking for experienced Presales Systems Architect to join us. As part of a dynamic, like-minded team of engineers passionate about AI, you will play a key role in shaping the future, today.

Your Impact

As a Systems Architect, you will collaborate closely with the Cisco Sales team to drive our go-to-market efforts and support technical sales activities. Leveraging your deep expertise in AI space, you will showcase the competitive advantages of Cisco's portfolio to prospective customers and partners, differentiating us from industry competitors.

Key Responsibilities

• Understand customer and partner needs to effectively present Cisco's Secure AI solutions.
• Lead product demonstrations, address technical queries, contribute to proposals, analyse client requirements, and develop tailored technical solutions in a presales environment.
• Drive strategic sales initiatives, including customer outreach and channel training, to expand business in targeted regions.
• Maintain strong interpersonal, presentation, and troubleshooting skills, inspiring confidence and passion in your audience.
  
  
• 8 + years of technical presales experience (preferably selling Compute, Storage, and/or DC Networking solutions). Must include track record of selling to LoB and or AI Practitioner
• Practical knowledge of AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face etc.),
• Good understanding of programming/scripting languages inc. Python
• Solid understanding of the latest industry advancements in AI and machine learning technologies, tools, and trends.
• Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.
  
  

Preferred Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field or equivalent experience. Advanced degree in Data Science is a plus.
• Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).
• In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar. Any hands-on experience in the design, develop, and deploy of AI models and algorithms to address business needs and improve operational efficiency would be a bonus.
• Familiarity with containerisation (Kubernetes etc)