Lead AI Engineer (Generative AI)

Job Description

\n

\n
• Permanent Role Paying 160 – 170K + Super + Bonus
\n
• Accelerate the adoption of Generative AI for this company!
\n
• Melbourne CBD Office, Hybrid Model of Working, 2-3 days in office per week
\n

\n

Join a well‑known Australian company as a Lead AI Engineer (Generative AI)!

This role is for: \n

\n
• Someone with 2 - 4 years experience applying modern Generative AI in real delivery environments
\n
• Someone with a strong track record of providing technical leadership
\n
• Someone with a strong background in software engineering before stepping into a more AI‑focused role in recent times
\n

What’s in it for you? \n

\n
• Join a well‑known ASX listed Australian company
\n
• Key Permanent Role Paying 160 – 170K + Super + Bonus
\n
• Great opportunity to help this company accelerate their adoption of Generative AI and by doing so uplift engineering standards and modernise the SDLC
\n
• Great opportunity to coach teams to safely and effectively use Generative AI and LLMs
\n
• Play a key role in influencing AI strategy, AI delivery, AI culture and responsible AI practices
\n
• Technical leadership opportunity where you’ll collaborate with a variety of stakeholders
\n
• Fantastic company culture and employee experience, work with colleagues that have excellent tenure in this organisation!
\n
• Hybrid working model outlined above
\n

What you’ll bring? \n

\n
• 2 - 4 years experience applying modern Generative AI in real delivery environments
\n
• A strong track record of providing technical leadership
\n
• A strong background in software engineering before stepping into a more AI‑focused role in recent times
\n
• Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
\n
• Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement.
\n
• Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration.
\n
• The ability to define trustworthy AI metrics
\n
• A Software engineering background using the likes of React, Typescript, React Native
\n
• AWS experience / certifications
\n
• Strong knowledge of CI/CD
\n
• Experience with monitoring tools
\n
• Great communication skills with the ability to be a bridge between teams and bring them together
\n
• A passion for embedding quality in delivery
\n
• Experience leading teams and driving end‑to‑end digital solutions
\n
• Excellent influencing skills and stakeholder management skills
\n
• A real passion for AI, its use and technology and innovation as a whole
\n

Nice to Have’s Include: \n

\n
• A background in using Java, Kotlin
\n
• Experience with GraphQL
\n
• Experience with GitHub Actions
\n
• Experience with Edge AI patterns
\n
• Understanding of micro‑frontends
\n

What you'll be doing: \n

\n
• Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an ‘AI‑first’ mindset
\n
• Providing technical leadership and shaping AI‑enabled solutions
\n
• Reporting into the Head of Technology and working closely with the Head of Enterprise AI
\n
• Collaborating with a variety of cross‑functional teams including Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
\n
• Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
\n
• Encouraging teams to embed AI‑driven thinking in solution design and delivery
\n
• Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
\n
• Producing AI‑augmented solution designs when required
\n
• Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns
\n
• Upskilling teams on AI/LLM
\n
• Uplifting agentic workflows, prompt engineering, model evaluation and telemetry‑driven validation
\n
• Automating approaches to quality assurance and performance, working to automate testing through the use of AI practices
\n
• Fostering a culture of innovation and continuous improvement.
\n

\n

#J-18808-Ljbffr