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 solid 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
Strong 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
#J-*****-Ljbffr

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