About the Role:
As a Senior AI Engineer/Developer, you will play a leading role in developing secure, scalable and high-performing AI solutions across both on-premises and cloud-based environments. You will work closely with Data Scientists, Architects, Cyber Security teams and Platform Engineers to establish foundational AI capabilities, drive innovation and deliver enterprise-grade AI solutions.
The role requires strong software engineering expertise, deep AI/ML knowledge and the ability to lead technical outcomes within complex stakeholder environments.
Key Responsibilities:
- Design, develop and deploy enterprise AI, ML and Generative AI solutions
- Lead the engineering, integration and optimisation of AI platforms and applications
- Build secure, scalable and reusable software solutions for AI workloads
- Develop and maintain AI deployment pipelines and MLOps frameworks
- Design and implement APIs, integrations and automation solutions
- Collaborate with architects and technical teams to deliver end-to-end AI solutions
- Provide technical leadership, mentoring and knowledge sharing across engineering teams
- Drive software quality, security, testing and continuous improvement practices
- Produce solution designs, technical documentation and implementation guidance
- Ensure AI solutions meet security, governance and compliance requirements
- Troubleshoot and resolve complex technical issues across AI and platform environments
- Engage with stakeholders to communicate technical concepts, recommendations and outcomes
- Proven experience designing, developing and deploying enterprise AI, Machine Learning and Generative AI solutions
- Strong software engineering background with advanced Python development, automation and API integration expertise
- Hands-on experience with MLOps practices, including model lifecycle management, training, deployment, monitoring and optimisation
- Experience with LLM and Generative AI technologies, including RAG, embeddings, vector databases, Hugging Face and AI agent frameworks
- Strong knowledge of containerisation and platform engineering using Docker, Podman and Kubernetes-based environments
- Experience implementing CI/CD pipelines, Infrastructure as Code and DevOps/GitOps practices using tools such as GitHub, GitLab, Terraform, Ansible and Argo CD
- Solid understanding of cloud and AI platforms, including AWS, Azure and associated AI/ML services
- Experience with enterprise integration, REST APIs, authentication, OAuth/OIDC and distributed architectures
- Strong understanding of security, DevSecOps, governance, compliance and secure-by-design principles
- Excellent solution design, stakeholder engagement and technical leadership skills
- AGSVA Security Clearance
- Experience with OpenShift AI and enterprise AI platforms
- Experience with NVIDIA GPUs, CUDA and AI infrastructure optimisation
- Knowledge of FinOps, observability and monitoring tools such as Prometheus and Grafana
- Experience working within Government or highly regulated enterprise environments
- Initial 12-month contract with extension opportunities
- Work on high-profile AI and Generative AI initiatives
- Hybrid working model following an initial onboarding period
- Opportunities to influence AI strategy, architecture and engineering practices
Due to the nature of this role, this job is open to Australian Citizens only.
Calleo is an equal opportunity employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.
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www.linkedin.com/company/calleoresourcing
www.calleo.com.au
