ai engineer lead

HR Partners

Sydney

On-site

AUD 180,000 - 240,000

Full time

5 days ago
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Job summary

HR Partners seeks an AI Engineer Lead to own end-to-end AI/ML architecture, solution delivery and governance across enterprise functions, using Azure AI Foundry and Anthropic Claude to design scalable AI solutions.

Responsibilities include implementing MLOps, establishing responsible AI guardrails, partnering with business units for high‑impact use cases, and building RAG patterns integrated with D365, Salesforce and Workday.

Qualifications

  • Leader of AI/ML engineering practice in a complex environment.
  • Hands-on proficiency with the Microsoft Azure AI stack.
  • Experience building LLM-based solutions, RAG architectures and governance.

Responsibilities

  • Design, build, and deploy production‑ready AI/ML solutions on Azure Foundry, OpenAI and Claude.
  • Define MLOps/LLMOps with CI/CD, evaluations, prompt versioning and drift monitoring.
  • Establish responsible AI frameworks aligning with privacy, data residency, and model risk.
  • Partner with business units to scope and deliver high‑impact enterprise AI use cases.
  • Develop architectural patterns for RAG and agentic workflows across core systems.

Skills

Leadership
Python
MLOps
LLMs
Azure AI
RAG architectures
Prompt engineering

Tools

Azure AI Foundry
Azure OpenAI Service
Anthropic Claude API
D365
Salesforce
Workday

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.

experience

3 years

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