Summary
✨ AI‑Generated
An AI engineer is sought for a high-impact enterprise technology program focused on designing, building, and operating secure, scalable AI and machine-learning platforms across on-premises, hybrid, and cloud environments. The role collaborates with data, architecture, cybersecurity, and platform teams and supports both greenfield and existing implementations.
Highlights
12-month contract with possible extension, offering hybrid work after an initial two-week office period and the opportunity to build secure, scalable AI and machine-learning platforms for enterprise use.
Description
AI Engineer
Baseline Clearance required
Type: Contract
Duration: 12 months (with possible extension)
Location: Capital cities in QLD, NSW, ACT or SA
Hybrid working after initial 2 weeks at the office
Our client is looking for an AI Engineer to join a high-impact technology program driving the adoption of Artificial Intelligence at enterprise scale.
We are seeking an experienced AI Engineer / Developer to design, build and operate secure, scalable AI and machine learning platforms across on-premises, hybrid and cloud environments.
Working closely with Data Scientists, Architects, Cyber Security and Platform teams, you will play a key role in delivering AI solutions that support critical business outcomes.
You will contribute to greenfield and brownfield AI platform implementations, establish engineering best practices, and help shape the future direction of enterprise AI capabilities.
Key Responsibilities
Design and implement AI/ML platforms and cloud-native solutions.Develop, test and maintain high-quality software and automation frameworks.Deploy, optimise and support AI workloads and model-serving environments.Apply Infrastructure as Code (IaC), DevOps and DevSecOps practices.Provide technical leadership, advice and problem resolution for complex ICT challenges.Collaborate with stakeholders to establish governance, standards and reusable patterns.Support project delivery, risk management and continuous improvement initiatives.
Skills & Experience
5+ years' experience in AI Engineering, Machine Learning Operations (MLOps) or Platform Engineering.Strong expertise in Kubernetes, OpenShift/OpenShift AI, containers and Linux environments.Experience with Python, automation, CI/CD pipelines and Infrastructure as Code (Terraform, Ansible or similar).Knowledge of Generative AI, LLMs, RAG architectures, model serving and AI platform operations.Experience with enterprise security, governance and compliance requirements.Strong communication, stakeholder engagement and problem-solving skills.Relevant qualifications in AI, Computer Science, Information Technology or a related discipline are highly regarded.
What We're Looking For
A proactive and technically skilled professional who can work independently, influence outcomes, drive innovation and deliver secure, reliable AI solutions within a complex enterprise environment.
This is an opportunity to help build next-generation AI capability while working on meaningful and challenging technology initiatives.
Apply today or contact Angie@logicalresources.com for further information!
