Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Cisco Solutions Engineer 
Australia, New South Wales, Sydney 
1700303

06.03.2025
Work Authorisation for Australia: Must be authorised to work in Australia without requiring sponsorship now or in the future

Your Impact
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 improve their business operations. This role requires a deep understanding of AI technologies and experience relaying technical concepts to a diverse audience.

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)