Also inMelbourne (VIC); Brisbane (QLD); Sydney, NSW
Work modehybrid
SenioritySenior
Experience10+ yrs
Company size10,000+ people
PostedSep 22, 2026 · 2w ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
Must have7
10+ years of experience in technology consulting, pre-sales, solution architecture, or related customer-facing technical roles
Experience developing and presenting technology solutions to both technical and executive audiences
Strong understanding of AI, machine learning, deep learning, generative AI, and modern AI application architectures
Experience designing enterprise technology solutions and deployment architectures
Strong Python or scripting experience
Familiarity with AI infrastructure, including GPU platforms, networking, storage, cloud services, or container technologies
Strong presentation, communication, and workshop facilitation skills
Nice to have6
Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline
Experience with AI infrastructure technologies, including GPU accelerators, high-performance networking, and scale-out storage
Experience with AI inference and model-serving technologies such as NVIDIA NIM, Triton Inference Server, TensorRT-LLM, vLLM, or similar
Knowledge of transformer-based language models, multimodal AI architectures, and modern GenAI frameworks
Experience with PyTorch, TensorFlow, Jupyter, NVIDIA AI Enterprise, or related platforms
Familiarity with Kubernetes, OpenShift, containerization, MLOps, and production AI operations
Eligibility2
Must be based in or within a commutable distance to Melbourne (VIC), Brisbane (QLD) or Sydney, NSW
Must be authorised to work in Australia without requiring sponsorship now or in the future
Skills
Python
GPU platforms
networking
storage
cloud services
container technologies
GPU accelerators
high-performance networking
scale-out storage
NVIDIA NIM
Triton Inference Server
TensorRT-LLM
vLLM
PyTorch
TensorFlow
Jupyter
NVIDIA AI Enterprise
Kubernetes
OpenShift
containerization
MLOps
Location:Must be based in or within a commutable distance to Melbourne (VIC), Brisbane (QLD) or Sydney, NSW
Legal
Work Authorization for Australia:Must be authorised to work in Australia without requiring sponsorship now or in the future.
Meet the Team
The Cloud & AI Infrastructure team helps organisations unlock the value of artificial intelligence through modern infrastructure, networking, data centre and cloud technologies.
As a Solutions Engineer, AI & Cloud Infrastructure, you will work with customers, partners and Cisco sales teams to solve complex business and technical challenges. The role combines customer engagement, solution architecture, hands-on demonstrations and technical leadership to accelerate AI adoption and deliver measurable outcomes. Working closely with product specialists and engineering teams, you will help customers translate AI ambitions into scalable, secure and deployable solutions.
Your Impact
As a trusted technical advisor, you will help customers evaluate, design, and adopt AI solutions across a wide range of industries.
You will:
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Partner with customers to understand business priorities and translate them into technical solutions.
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Design and demonstrate AI, cloud, networking, and infrastructure architectures that deliver measurable value.
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Lead workshops, discovery sessions, architecture reviews, and technical evaluations.
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Collaborate with sales teams, partners, specialists, and product engineering teams to drive successful customer outcomes.
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Showcase Cisco’s AI strategy and technology portfolio through compelling demonstrations and business-focused conversations.
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Stay current on emerging AI technologies, industry trends, and competitive developments.
Minimum Qualifications
•
10+ years of experience in technology consulting, pre-sales, solution architecture, or related customer-facing technical roles.
•
Experience developing and presenting technology solutions to both technical and executive audiences.
•
Strong understanding of AI, machine learning, deep learning, generative AI, and modern AI application architectures.
•
Experience designing enterprise technology solutions and deployment architectures.
•
Strong Python or scripting experience.
•
Familiarity with AI infrastructure, including GPU platforms, networking, storage, cloud services, or container technologies.
•
Strong presentation, communication, and workshop facilitation skills.
Preferred Qualifications
•
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline.
•
Experience with AI infrastructure technologies, including GPU accelerators, high-performance networking, and scale-out storage.
•
Experience with AI inference and model-serving technologies such as NVIDIA NIM, Triton Inference Server, TensorRT-LLM, vLLM, or similar.
•
Knowledge of transformer-based language models, multimodal AI architectures, and modern GenAI frameworks.
•
Experience with PyTorch, TensorFlow, Jupyter, NVIDIA AI Enterprise, or related platforms.
•
Familiarity with Kubernetes, OpenShift, containerization, MLOps, and production AI operations.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve 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 you’ll 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.