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Systems architect - ai infrastructure

Berlin
Cisco
Inserat online seit: 12 November
Beschreibung

Systems Architect AI Requisition: 1435220 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. Minimum Experience: 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) Why Cisco? At Cisco, weu2019re revolutionizing how data and infrastructure connect and protect organizations in the AI era u2013 and beyond. Weu2019ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and youu2019ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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