AI Engineer Lead – Enterprise ML on Azure & Claude

Randstad NV; Sydney; On-site; AUD 180,000 - 230,000; Full time

Job summary

Randstad Digital is seeking an AI Engineer Lead to own end-to-end AI/ML architecture and governance across core operations and corporate functions. You will work in a Microsoft Azure ecosystem with Anthropic Claude, balancing platform engineering with hands-on development to deliver scalable, secure AI solutions for enterprise applications.

You will define MLOps/LLMOps, implement robust evaluation, versioning, and drift monitoring, and collaborate with business units to deliver high-impact AI

Qualifications

• Experience leading an AI/ML engineering practice or platform in a complex environment.
• Hands-on proficiency with the Microsoft Azure AI stack (Azure AI Foundry, Azure OpenAI, Azure ML).
• Proven track record building and evaluating LLM-based solutions, including RAG architectures and prompt engineering.
• Strong Python programming foundations with MLOps, model evaluation, and governance guardrails.
• Excellent stakeholder engagement with an outcomes-focused approach to AI delivery.

Responsibilities

• Design, build, and deploy production-ready AI/ML solutions using Azure AI Foundry, Azure OpenAI, and Anthropic Claude.
• Define MLOps and LLMOps practices, including CI/CD pipelines, automated evaluations, prompt versioning, and drift monitoring.
• Establish Responsible AI frameworks aligned with privacy principles and data residency, and model risk management.
• Partner with business units to identify, scope, and deliver high-impact AI use cases for enterprise applications.
• Build technical patterns for RAG architectures and agentic workflows integrated into core systems like D365, Salesforce, and Workday.

Skills

AI/ML leadership

Azure AI

LLM & RAG

Prompt engineering

Python

MLOps governance

Stakeholder engagement

Tools

Anthropic Claude API

Azure OpenAI Service

Azure AI Foundry

Azure Machine Learning

Job description

Randstad Digital is seeking an AI Engineer Lead to own end-to-end AI/ML architecture and governance across core operations and corporate functions. You will work in a Microsoft Azure ecosystem with Anthropic Claude, balancing platform engineering with hands-on development to deliver scalable, secure AI solutions for enterprise applications.

You will define MLOps/LLMOps, implement robust evaluation, versioning, and drift monitoring, and collaborate with business units to deliver high-impact AI