- Partner with customers to understand business priorities and translate them into technical solutions
- Design and demonstrate AI, cloud, networking, and infrastructure architectures that deliver measurable value
- Lead workshops, discovery sessions, architecture reviews, and technical evaluations
- Collaborate with sales teams, partners, specialists, and product engineering teams to drive successful customer outcomes
- Showcase Cisco's AI strategy and technology portfolio through demonstrations and business-focused conversations
- Stay current on emerging AI technologies, industry trends, and competitive developments
- Work with customers, partners, and Cisco sales teams to solve complex business and technical challenges
- Support customer evaluation, design, and adoption of AI solutions across industries

Requirements

- 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
- 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
- Bachelor's degree in Computer Science,



Engineering, Data Science, or a related discipline (preferred)
- 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

Core Competencies

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.

Highest-signal resume keywords

- 10+ Years Technology Consulting Experience
- Strong Python or Scripting Experience
- AI Infrastructure Technologies Expertise
- Experience with AI Inference and Model-Serving Technologies
- Solid Presentation and Communication Skills

ATS Optimization Keywords

Hard Skills

- AI
- Machine Learning
- Deep Learning
- Generative AI
- Enterprise Technology Solutions Design
- Python
- GPU Platforms
- NVIDIA NIM
- PyTorch
- TensorFlow

Soft Skills

- Workshop Facilitation
- Communication

Industry Keywords

- Cloud Services
- Networking
- Infrastructure Architectures
- AI Strategy
- Technical Evaluations

Tools & Technologies

- Jupyter
- NVIDIA AI Enterprise
- Kubernetes
- OpenShift
- MLOps

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📌 Solutions Engineer – AI, Cloud Infrastructure (Melbourne)
🏢 Jobtailor
📍 Melbourne