Solutions Engineer – AI, Cloud Infrastructure

Jobtailor

City of Melbourne

On-site

AUD 180,000 - 260,000

Full time

4 days ago

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Job summary

Cisco is seeking an experienced technology consultant and solution architect focused on AI, cloud, networking, and infrastructure. You will design enterprise architectures, lead workshops, and demonstrate value-driven solutions to customers and partners.

Based in Australia (Melbourne/Brisbane/Sydney commutable) with strong Python, AI infra, and MLOps skills, you will articulate strategy to technical and executive audiences and help drive customer adoption of GenAI technologies.

Qualifications

10+ years in technology consulting, pre-sales, solution architecture, or related customer-facing technical roles
Experience 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

Responsibilities

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

Skills

Technology consulting

Solution architecture

AI / ML

Python

AI infrastructure

Presentation skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

Kubernetes

OpenShift

Jupyter

NVIDIA AI Enterprise

MLOps

Job description

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.

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