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Cisco

Solutions Engineer – AI, Cloud Infrastructure

Cisco

Cisco Solutions Engineer designing and demonstrating AI, cloud, networking, and infrastructure architectures. Advising enterprise customers and sales teams on scalable AI adoption.

Posted 9/10/2026full-timeMelbourne • 🇦🇺 AustraliaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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 ExperienceStrong Python or Scripting ExperienceAI Infrastructure Technologies ExpertiseExperience with AI Inference and Model-Serving TechnologiesStrong Presentation and Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AIMachine LearningDeep LearningGenerative AIEnterprise Technology Solutions DesignPythonGPU PlatformsNVIDIA NIMPyTorchTensorFlow
Soft Skills
Workshop FacilitationCommunication
Tools & Technologies
JupyterNVIDIA AI EnterpriseKubernetesOpenShiftMLOps
Industry Keywords
Cloud ServicesNetworkingInfrastructure ArchitecturesAI StrategyTechnical Evaluations

Tech Stack

Tools & technologies
CloudKubernetesOpenShiftPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Opportunities to grow and build
  • Collaboration with a worldwide network of experts
  • Work on meaningful solutions with global impact