Senior Engineer - AI
LAB3 is one of Australasia’s largest Azure engineering practices, specialising in Cloud & DevOps, Data, IoT & AI, Modern Workplace, Security, and Networks. We’re seeking for a Senior AI Engineer to join our Professional Services team to design, build, and operationalise AI solutions that deliver measurable value for enterprise clients, working across the AI lifecycle from prototyping to production.
Must be based anywhere in Australia, a citizen, and ideally hold security clearance.
The Role:
Solution Design & Delivery
Work with clients to understand requirements, shape technical solutions, and deliver Agentic AI and GenAI workloads on Azure. Build production‑grade applications with CI/CD, monitoring, and observability.
GenAI & RAG Engineering
Develop robust RAG pipelines, optimise prompts, improve latency/cost, and design evaluation/test frameworks for LLM‑based systems.
MLOps & Platform Engineering
Implement MLOps with Azure ML/Databricks including experiment tracking, model registry, feature stores, automated deployment, and IaC . Establish operational telemetry and model monitoring (drift, bias, quality).
Data & Integration
Work with data engineers across ADLS, Delta Lake, EventHub, Synapse/Fabric, APIs, and vector databases to enable scalable hybrid retrieval architectures.
Security, Governance & Consulting
Apply enterprise‑grade security (Entra, networking, secrets, RBAC), embed responsible AI practices, and produce HLD/LLDs. Lead workshops, present to stakeholders, mentor engineers, and contribute to reusable components and accelerators.
About You:
7–10+ years in software/data/AI engineering, including 1 year in Agentic AI.
Experience delivering enterprise Search/RAG/virtual agent solutions on Azure.
Strong hands‑on skills with Azure, Databricks, and Azure ML.
Proven technical leadership, mentoring, and cross‑team collaboration.
Preferably: code/design artefacts, Azure/Databricks certifications, or related academic background.
Tools & PlatformsPython, Microsoft Foundry, LangChain/Semantic Kernel, Azure AI Search/Redis/pgvector, ADLS, Delta Lake, Databricks, Synapse/Fabric, GitHub Actions/Azure DevOps, Docker, AKS, Key Vault, Bicep/Terraform, Azure Monitor, Prometheus/Grafana.
What’s in it for you?
Be part of a team that leverages modern technologies to solve real problems and provides top level of customer satisfaction
Work with a Microsoft Partner of the Year award winner with multiple specialisations
Be supported by experienced peers and leaders that value technical expertise and encourages innovation, with clear career pathways and ongoing learning
Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences.
Take advantage of largely working from home in our remote/hybrid workplace and enjoy the flexibility to balance your life
Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
Apply now, call or connect on LinkedIn for further information.
#LI-GS1
Apply To This Job
Must be based anywhere in Australia, a citizen, and ideally hold security clearance.
The Role:
Solution Design & Delivery
Work with clients to understand requirements, shape technical solutions, and deliver Agentic AI and GenAI workloads on Azure. Build production‑grade applications with CI/CD, monitoring, and observability.
GenAI & RAG Engineering
Develop robust RAG pipelines, optimise prompts, improve latency/cost, and design evaluation/test frameworks for LLM‑based systems.
MLOps & Platform Engineering
Implement MLOps with Azure ML/Databricks including experiment tracking, model registry, feature stores, automated deployment, and IaC . Establish operational telemetry and model monitoring (drift, bias, quality).
Data & Integration
Work with data engineers across ADLS, Delta Lake, EventHub, Synapse/Fabric, APIs, and vector databases to enable scalable hybrid retrieval architectures.
Security, Governance & Consulting
Apply enterprise‑grade security (Entra, networking, secrets, RBAC), embed responsible AI practices, and produce HLD/LLDs. Lead workshops, present to stakeholders, mentor engineers, and contribute to reusable components and accelerators.
About You:
7–10+ years in software/data/AI engineering, including 1 year in Agentic AI.
Experience delivering enterprise Search/RAG/virtual agent solutions on Azure.
Strong hands‑on skills with Azure, Databricks, and Azure ML.
Proven technical leadership, mentoring, and cross‑team collaboration.
Preferably: code/design artefacts, Azure/Databricks certifications, or related academic background.
Tools & PlatformsPython, Microsoft Foundry, LangChain/Semantic Kernel, Azure AI Search/Redis/pgvector, ADLS, Delta Lake, Databricks, Synapse/Fabric, GitHub Actions/Azure DevOps, Docker, AKS, Key Vault, Bicep/Terraform, Azure Monitor, Prometheus/Grafana.
What’s in it for you?
Be part of a team that leverages modern technologies to solve real problems and provides top level of customer satisfaction
Work with a Microsoft Partner of the Year award winner with multiple specialisations
Be supported by experienced peers and leaders that value technical expertise and encourages innovation, with clear career pathways and ongoing learning
Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences.
Take advantage of largely working from home in our remote/hybrid workplace and enjoy the flexibility to balance your life
Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
Apply now, call or connect on LinkedIn for further information.
#LI-GS1
Apply To This Job