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 n

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: n

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

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Up-to-date Tech Stack: Work directly with Azure AI Foundry, Azure OpenAI Service, Claude API, and integrated enterprise platforms.

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

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Key Responsibilities: nn
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Design, build,



and deploy production-ready AI/ML solutions using Azure AI Foundry, Azure OpenAI, and Anthropic Claude.

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Define MLOps and LLMOps practices, including CI/CD pipelines, automated evaluations, prompt versioning, and drift monitoring.

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Establish responsible AI frameworks, ensuring alignment with Australian Privacy Principles, data residency rules, and model risk management.

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Partner with business units to identify, scope, and deliver high-impact AI use cases for enterprise applications.

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Build technical patterns for RAG architectures and agentic workflows integrated into core systems like D365, Salesforce, and Workday.

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About You: nn
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Demonstrated experience leading an AI/ML engineering practice or platform in a complex environment.

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

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

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

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

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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.

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📌 AI Engineer Lead (Sydney)
🏢 Randstad
📍 Sydney