AI Engineer Lead

Randstad; 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

As the AI Engineer Lead, you will own the end-to-end AI/ML architecture, solution delivery, and governance across core operational and corporate functions. Operating primarily within the Microsoft Azure ecosystem alongside Anthropic Claude, you will balance strategic platform engineering with hands-on development. Your core mission is to design scalable, secure, and compliant AI solutions while operationalising RAG models, agentic workflows, and robust MLOps practices across enterprise applications.

About the Role

As the AI Engineer Lead, you will own the end-to-end AI/ML architecture, solution delivery, and governance across core operational and corporate functions. Operating primarily within the Microsoft Azure ecosystem alongside Anthropic Claude, you will balance strategic platform engineering with hands-on development. Your core mission is to design scalable, secure, and compliant AI solutions while operationalising RAG models, agentic workflows, and robust MLOps practices across enterprise applications.

What's in it for you:

• Strategic Influence: Own and shape the enterprise AI roadmap, architecture standards, and tooling decisions.

• Modern Tech Stack: Work directly with Azure AI Foundry, Azure OpenAI Service, Claude API, and integrated enterprise platforms.

• Career Leadership: Build, mentor, and scale the internal AI engineering practice while driving organisation-wide adoption.

Key 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, ensuring alignment with Australian Privacy Principles, data residency rules, 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.

About You:

• Demonstrated experience leading an AI/ML engineering practice or platform in a complex environment.

• Deep hands-on proficiency with the Microsoft Azure AI stack (Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning).

• Practical experience building and evaluating LLM-based solutions, RAG architectures, prompt engineering, and Anthropic Claude API/models.

• Strong programming foundations in Python, alongside experience in MLOps, model evaluation, and governance guardrails.

• Exceptional stakeholder engagement skills with an outcomes-focused, pragmatic approach to AI delivery.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.