Lead AI Engineer
AustralianSuper
full-time
Posted on:
Location Type: Hybrid
Location: Melbourne • Australia
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Job Level
About the role
- Lead the technical design and delivery of GenAI solutions from LLM and RAG foundations through to agentic AI systems.
- Design, build, and deliver production‑grade AI solutions that move beyond experimentation and into real‑world impact.
- Provide technical leadership for a small, high‑impact team of AI engineers while remaining deeply hands‑on in solution design, development, and delivery.
- Ensure solutions are robust, scalable, secure, and responsibly designed, aligned with enterprise standards and regulatory expectations.
Requirements
- Strong hands‑on experience building GenAI solutions, including LLM integration, prompt engineering, RAG patterns, and evaluation approaches in production environments.
- Demonstrated capability in prompt design and optimisation, including structuring system and user prompts, managing context, reducing hallucinations, and improving output consistency and reliability.
- Experience designing and delivering agentic AI systems, such as tool‑using agents, workflow orchestration, multi‑step reasoning, and human‑in‑the‑loop patterns.
- Hands‑on expertise with cloud platforms (AWS, Azure, or GCP), including deploying and operating AI solutions in cloud‑based environments.
- Experience with containerisation and orchestration, including Docker and Kubernetes, to support scalable, reliable AI services.
- Advanced programming skills in Python and/or JavaScript, used to build, integrate, and operate GenAI and agentic systems across APIs, services, and workflows.
- Demonstrated experience with MLOps / GenAI operations practices, including lifecycle management, deployment pipelines, monitoring, and operational support.
- Experience embedding and operationalising Responsible AI and ethical AI principles, applying best‑practice patterns across GenAI and agentic use cases in enterprise or regulated environments.
- Strong software engineering and system design skills, with the ability to balance experimentation with production readiness, performance, cost, and maintainability.
- Experience leading technical delivery, providing clear technical direction, reviewing designs and code, and supporting the development of other engineers while remaining hands‑on.
- Strong communication and stakeholder engagement skills, able to translate complex technical concepts for both technical and non‑technical audiences.
- An innovative, curious, and growth‑oriented mindset, with a desire to continuously learn and apply emerging AI capabilities in practical ways.
- Relevant certifications and experience in financial services or large global organisations are highly regarded.
Benefits
- Flexible, hybrid working environment
- Ongoing learning, coaching and training
- Career opportunities across global organisation
- Generous leave entitlements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAI solutionsLLM integrationprompt engineeringRAG patternsagentic AI systemscloud platformsDockerKubernetesPythonJavaScript
Soft Skills
technical leadershipcommunicationstakeholder engagementinnovationcuriositygrowth-oriented mindsetproblem-solvingteam collaborationadaptabilitymentorship