Senior AI Engineer

Senior AI Engineer at LAB3

LAB3 is one of Australasia’s largest Azure engineering practices, specializing in Cloud & DevOps, Data, IoT & AI, Modern Workplace, Security, and Networks. We are seeking Expressions of Interest for a Senior AI Engineer to join our Professional Services team. This role focuses on designing, building, and operationalizing AI solutions that deliver measurable value for enterprise clients, working across the AI lifecycle from prototyping to production.

Candidates must be based anywhere in Australia, be a citizen, and ideally hold security clearance.

The Role

The Senior AI Engineer will be responsible for a variety of critical tasks, including:

• 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, optimize 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 Infrastructure as Code (IaC). Establish operational telemetry and model monitoring (drift, bias, quality).
• Data & Integration: Collaborate 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 High-Level Design (HLD) and Low-Level Design (LLD) documents. Lead workshops, present to stakeholders, mentor engineers, and contribute to reusable components and accelerators.

About You

We are looking for a candidate with:

• 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 artifacts, Azure/Databricks certifications, or related academic background.

Tools & Platforms

The role involves working with a diverse range of technologies, including: 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 customer satisfaction.
• Work with a Microsoft Partner of the Year award winner with multiple specializations.
• 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.

Key skills/competency

• AI Solution Design
• GenAI & RAG Engineering
• MLOps Implementation
• Azure Cloud Platform
• Python Programming
• Technical Leadership
• Client Consulting
• Data Integration
• Enterprise Security
• Model Monitoring