We are seeking an experienced AI Engineering Lead to lead the development and adoption of AI capabilities across a complex technology environment.
This is a hands-on technology leadership role for someone who can move beyond AI strategy and drive the practical adoption, engineering and delivery of AI across the software development lifecycle .
The Role
You will lead the development and adoption of AI capabilities
Key responsibilities include
- Define and execute AI strategy, roadmap and innovation initiatives
- Identify and prioritise opportunities to apply AI and GenAI to business and technology challenges
- Lead the development of LLM, GenAI and agentic AI solutions from experimentation through to production
- Embed AI capabilities across the software development lifecycle (SDLC)
- Drive AI-enabled engineering practices to improve developer productivity, quality and delivery
- Establish engineering standards and practices for building, testing, deploying and operating AI-enabled applications
- Lead the development of AI agents, developer tooling and automation
- Provide technical leadership across AI architecture, application development and integrations
- Work with engineering and security teams to ensure AI solutions are developed and deployed securely
- Evaluate emerging AI technologies and identify practical opportunities for adoption
About You We are looking for a senior software engineering leader with significant hands-on AI experience .
You will ideally have
- Significant experience in software engineering and technology leadership
- Proven experience leading engineering teams or technical delivery functions
- Strong hands-on experience with Generative AI, LLMs and/or agentic AI
- Experience building and deploying AI solutions into production
- Strong understanding of modern software architecture and engineering practices
- Experience integrating AI into the SDLC and developer workflows
- Strong programming experience in one or more modern programming languages
- Experience with LLM APIs, AI agents, RAG, embeddings and/or vector databases
- Understanding of AI security, governance, testing and observability
- Experience with DevSecOps, CI/CD and modern cloud development practices
- Ability to translate emerging AI capabilities into practical business and engineering outcomes
If you would like to discuss further, please email me at
[email protected] Alternatively, apply now to discuss the chance confidentially.
📌 AI Engineering Lead (Brisbane)
🏢 Data#3
📍 Brisbane