What You'll Do
We are seeking a Solutions Engineer - Artificial Intelligence (AI) to join our dynamic 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 needs, and provide tailored solutions that enhance their business operations. This position requires a deep understanding of AI infrastructure technologies and experience in conveying technical concepts to a diverse audience.
Who You'll Work With
The Cloud + AI Infrastructure team delivers a scalable strategy with localized execution for data center customer transformation and growth. We serve as the Americas go-to-market engine for compute and data center networking, capturing market transitions and enabling sellers to expand customer growth for Cisco. Working alongside our colleagues, Cloud & AI Infrastructure develops sales strategies, activates sellers and technical communities, and accelerates the sales process.
Who You Are
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 crucial link between technical teams, account teams, executives, and 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:
- 6+ 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.
- Proven soft skills such as teamwork, problem-solving, customer engagement and advocacy.
- 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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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