Job Description
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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 demonstrations and business-focused conversations
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Stay current on emerging AI technologies, industry trends, and competitive developments
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Work with customers, partners, and Cisco sales teams to solve complex business and technical challenges
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Support customer evaluation, design, and adoption of AI solutions across industries
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Requirements
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10+ years of experience in technology consulting, pre-sales, solution architecture, or related customer-facing technical roles
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Experience developing and presenting technology solutions to both technical and executive audiences
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Strong understanding of AI, machine learning, deep learning, generative AI, and modern AI application architectures
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Experience designing enterprise technology solutions and deployment architectures
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Strong Python or scripting experience
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Familiarity with AI infrastructure, including GPU platforms, networking, storage, cloud services, or container technologies
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Solid presentation, communication, and workshop facilitation skills
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Must be based in or within a commutable distance to Melbourne (VIC), Brisbane (QLD), or Sydney, NSW
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Must be authorised to work in Australia without requiring sponsorship now or in the future
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Bachelor's degree in Computer Science, Engineering, Data Science,



or a related discipline (preferred)
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Experience with AI infrastructure technologies, including GPU accelerators, high-performance networking, and scale-out storage
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Experience with AI inference and model-serving technologies such as NVIDIA NIM, Triton Inference Server, TensorRT-LLM, vLLM, or similar
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Knowledge of transformer-based language models, multimodal AI architectures, and modern GenAI frameworks
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Experience with PyTorch, TensorFlow, Jupyter, NVIDIA AI Enterprise, or related platforms
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Familiarity with Kubernetes, OpenShift, containerization, MLOps, and production AI operations
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Core Competencies
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Demonstrates expertise in AI, machine learning, and cloud technologies, with a strong ability to design and present enterprise solutions that meet customer needs. Proven experience in leading technical workshops and collaborating with diverse teams to drive successful outcomes.
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Highest-signal resume keywords
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10+ Years Technology Consulting Experience
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Strong Python or Scripting Experience
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AI Infrastructure Technologies Expertise
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Experience with AI Inference and Model-Serving Technologies
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Strong Presentation and Communication Skills
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ATS Optimization Keywords
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Hard Skills
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AI
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Machine Learning
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Deep Learning
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Generative AI
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Enterprise Technology Solutions Design
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Python
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GPU Platforms
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NVIDIA NIM
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PyTorch
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TensorFlow
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Soft Skills
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Workshop Facilitation
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Communication
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Industry Keywords
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Cloud Services
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Networking
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Infrastructure Architectures
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AI Strategy
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Technical Evaluations
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Tools & Technologies
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Jupyter
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NVIDIA AI Enterprise
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Kubernetes
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OpenShift
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MLOps
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📌 Solutions Engineer - Ai, Cloud Infrastructure (Victoria)
🏢 Jobtailor
📍 Victoria