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Solutions Engineer – AI & Cloud Infrastructure

cisco · Melbourne

New
Senior 🇬🇧 English
Python GPU accelerators Cloud services Kubernetes OpenShift NVIDIA NIM Triton Inference Server vLLM PyTorch TensorFlow Jupyter NVIDIA AI Enterprise MLOps

Job description

About the role

The Cloud & AI Infrastructure team at Cisco helps organisations unlock AI value through modern infrastructure, networking, data‑centre and cloud technologies. As a Solutions Engineer you will work with customers, partners and Cisco sales teams to solve complex business and technical challenges, driving AI adoption and measurable outcomes.

Key responsibilities

  • Partner with customers to understand business priorities and translate them into technical AI, cloud and networking solutions.
  • Design and demonstrate scalable, secure AI and infrastructure architectures.
  • Lead workshops, discovery sessions, architecture reviews and technical evaluations.
  • Collaborate with sales, partners, specialists and product engineering to ensure successful customer outcomes.
  • Showcase Cisco’s AI strategy and technology portfolio through compelling demos and business‑focused conversations.
  • Stay current on emerging AI technologies, industry trends and competitive developments.

Required profile

  • 10+ years of experience in technology consulting, pre‑sales, solution architecture or related customer‑facing technical roles.
  • Proven ability to develop and present technology solutions to both technical and executive audiences.
  • Strong understanding of AI, machine learning, deep learning, generative AI and modern AI application architectures.
  • Hands‑on experience with Python or other scripting languages.
  • Familiarity with AI infrastructure including GPU platforms, high‑performance networking, storage and cloud services.
  • Excellent presentation, communication and workshop facilitation skills.

Required skills

  • Python (or other scripting)
  • GPU accelerators (e.g., NVIDIA)
  • High‑performance networking
  • Scale‑out storage
  • Cloud services (AWS, Azure, GCP)
  • Container technologies (Kubernetes, OpenShift)
  • AI inference platforms (NVIDIA NIM, Triton Inference Server, TensorRT‑LLM, vLLM)
  • Deep learning frameworks (PyTorch, TensorFlow)
  • Jupyter notebooks
  • NVIDIA AI Enterprise
  • MLOps concepts

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Published 13 hours ago

Expires 1 month from now

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cisco

Melbourne