Senior Engineer- AI

LAB3; Australia; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Remote/hybrid

Career development

Flexible working

Partner award

Job summary

LAB3, one of Australasia’s largest Azure engineering practices, is seeking a Senior AI Engineer to design, build, and operationalise AI solutions across the lifecycle for enterprise clients.

Based anywhere in Australia, you will work on GenAI, RAG engineering, MLOps, data integration, and security governance while mentoring engineers and contributing reusable accelerators. The role combines hands-on delivery with strategic leadership in a Microsoft-centric stack.

Qualifications

• 7–10+ years in software/data/AI with a year in Agentic AI.
• Experience delivering enterprise Search/RAG/agent workloads on Azure.
• Strong hands-on skills with Azure, Databricks, and Azure ML.

Responsibilities

• Design, build, and operationalise AI solutions across the full lifecycle.
• Lead GenAI/RAG engineering, optimise prompts, and build evaluation frameworks.
• Mentor engineers, run workshops, and contribute reusable accelerators.

Skills

Agentic AI

Azure

Databricks

MLOps

LLMs / AI engineering

Leadership

Mentoring

Cross-team collaboration

Security & governance

Tools

GitHub Actions

Terraform

Bicep

Azure DevOps

Job description

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 & Platforms-

Python, 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