Job at a glance
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. experience 3 years key responsibilities Lead the enterprise AI strategy, platform architecture, and solution delivery Design, build, and operationalise AI/ML solutions using Azure AI Foundry and Anthropic Claude Establish responsible AI governance, data privacy guardrails, and MLOps/LLMOps frameworks Coach ICT and business teams on AI capabilities, prompt engineering, and agentic workflows qualification Degree in Computer Science Data Science AI/ML Software Engineering or equivalent experience Postgraduate qualification in AI ML or Data Science highly regarded Cloud/AI certifications (e.g.
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