Location: Must be based in or within a commutable distance to Melbourne (VIC), Brisbane (QLD) or Sydney, NSW
Work Authorization for Australia: Must be authorised to work in Australia without requiring sponsorship now or in the future.
Meet the Team
The Cloud & AI Infrastructure team helps organisations unlock the value of artificial intelligence through modern infrastructure, networking, data centre and cloud technologies.
As a Solutions Engineer, AI & Cloud Infrastructure, you will work with customers, partners and Cisco sales teams to solve complex business and technical challenges. The role combines customer engagement, solution architecture, hands-on demonstrations and technical leadership to accelerate AI adoption and deliver measurable outcomes. Working closely with product specialists and engineering teams, you will help customers translate AI ambitions into scalable, secure and deployable solutions.
Your Impact
As a trusted technical advisor, you will help customers evaluate, design, and adopt AI solutions across a wide range of industries.
You will:
- 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 compelling demonstrations and business-focused conversations.
- Stay current on emerging AI technologies, industry trends, and competitive developments.
Minimum Qualifications
- 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.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- 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.
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Skills Required
- 10+ years of experience in technology consulting, pre-sales, solution architecture, or related customer-facing technical roles
- Experience developing and presenting technology solutions to 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
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline
- Experience with 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, or vLLM
- Knowledge of transformer-based language models, multimodal AI architectures, and modern generative AI frameworks
- Experience with PyTorch, TensorFlow, Jupyter, NVIDIA AI Enterprise, or related platforms
- Familiarity with Kubernetes, OpenShift, containerization, MLOps, and production AI operations
- Must be based in or within commuting distance of Melbourne, Brisbane, or Sydney, Australia
- Must be authorized to work in Australia without requiring sponsorship now or in the future
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
