Solutions Engineer - AI, Cloud Infrastructure

• 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
• 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