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What You’ll Do

We are seeking a senior Solutions Engineer - Artificial Intelligence (AI) to join our dynamic sales team. As a Solutions Engineer (AI), you will drive the adoption of our AI solutions across various industries. You will identify potential clients across Australia and New Zealand, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies and experience relaying technical concepts to a diverse audience.

Who You’ll Work With

The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.

Who You Are

You’re energized by the fast-paced landscape in IT and how AI is changing the world. You love technology and thrive in solving complex problems. You are an amazing presenter and can translate complex technical scenarios into a simple east to understand message. You inspire those around to use technology in innovative ways and use a hands on methods to demonstrate your ideas.

Minimum Qualifications:

• 6+ years of technical presales experience (preferably selling Compute, Storage, and/or Network solutions).
• Good understanding of programming/scripting languages 
• Ability to provide detailed and consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions.
• 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.
• Experienced with data storage and management and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc)
• Expertise in training and fine-tuning AI models on premise or in cloud environments
• Familiarity with containerization (Kubernetes etc)

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.