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Cisco

Solution Engineer – AI

Cisco

AI Solution Engineer developing and deploying advanced AI workflows and multi-agent systems for Cisco. Collaborating with cross-functional teams to drive impactful results in networking innovation.

Posted 6/15/2026full-timeSydney • 🇦🇺 AustraliaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
CloudDockerETLKubernetesMicroservicesPython

About the role

Key responsibilities & impact
  • Develop and deploy advanced AI workflows and multi-agent systems that drive innovation in networking
  • Build, fine-tune, and align large language models to create intelligent AI applications like chatbots and automation tools
  • Implement secure-by-design principles and embed AI-driven security measures throughout the software and model lifecycle
  • Lead the creation of autonomous agents that plan, reason, and execute complex multi-step tasks
  • Deliver rapid, tangible business and technical value through Proofs of Concept (PoCs) and Proofs of Value (PoVs)
  • Ensure scalability, reliability, and safety of AI systems in production environments
  • Influence Cisco’s ability to solve customer challenges with transformative AI solutions
  • Drive impactful results in a fast-paced, innovative environment by working closely with cross-functional teams

Requirements

What you’ll need
  • Bachelor’s degree or higher qualification in Computer Science, Software Engineering, IT or a closely related discipline
  • At least 2 years of relevant experience and/or relevant vendor certification may substitute for the formal qualification (ANZSCO Skill Level 1)
  • Demonstrated experience designing, developing and supporting production software systems using Python and backend development frameworks
  • Hands-on experience with Large Language Models (e.g. GPT family) and frameworks such as LangChain or LlamaIndex and Lang Graph
  • Experience designing and implementing APIs, microservices and event-driven software architectures
  • Experience with vector databases (e.g. Pinecone, FAISS, Weaviate), cloud-native architectures, containerised deployment, Docker, Kubernetes and CI/CD pipelines
  • Knowledge of data pipelines and ETL processes, with strong analytical, problem-solving and software design skills

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonLarge Language ModelsLangChainLlamaIndexLang GraphAPIsmicroservicesevent-driven architecturevector databasesETL processes
Soft Skills
analytical skillsproblem-solvingleadershipcollaborationcommunication