Senior Engineer – AI
Job role insights
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Date posted
March 12, 2026
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Closing date
June 10, 2026
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Hiring location
Remote
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Offered salary
Negotiable Price
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Career level
Senior
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Experience
10+ Years
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Gender
Any / All
Description
Company Overview
LAB3 is one of Australasia’s largest Azure engineering practices, specialising in:
Cloud & DevOps
Data, IoT & AI
Modern Workplace
Security & Networks
LAB3 helps enterprise clients design, build, and operationalise AI solutions that deliver measurable business value. The company is recognised for innovation and customer satisfaction, and offers flexible, inclusive, and supportive work environments.
Industry: IT Services & Consulting
Company Size: ~201–500 employees
Website: lab3.com.au
Role Overview
The Senior AI Engineer will join LAB3’s Professional Services team to design, build, and operationalise AI solutions across the full AI lifecycle, from prototyping to production. This includes delivering Agentic AI, GenAI, and RAG solutions for enterprise clients.
Note: Must be based in Australia, a citizen, and ideally hold security clearance.
Key Responsibilities
Solution Design & Delivery
Work with clients to understand requirements and shape technical AI solutions 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: experiment tracking, model registry, feature stores, automated deployment, and Infrastructure as Code (IaC).
Establish operational telemetry and model monitoring (drift, bias, quality).
Data & Integration
Work with data engineers across ADLS, Delta Lake, EventHub, Synapse/Fabric, APIs, vector databases for 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.
Candidate Requirements
Experience: 7–10+ years in software/data/AI engineering, including 1 year in Agentic AI.
Delivered 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.
Preferred: code/design artefacts, Azure/Databricks certifications, or relevant 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.
Benefits / Why Join LAB3
Work with modern technologies and solve real enterprise problems.
Join a Microsoft Partner of the Year award winner with multiple specialisations.
Supportive culture promoting technical expertise, innovation, learning, inclusion, flexibility, and diversity.
Remote/hybrid workplace with flexible work-life balance.
Thrive in a community with strong values: #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
How to Apply
Apply via the LAB3 portal, call, or connect on LinkedIn for more info.
Interested in this job?
84 days left to apply