About the RoleWe are seeking an experienced AI Engineer to design, build, deploy, and support secure, scalable AI solutions that deliver measurable business value. Working across AI, cloud, data, and software engineering teams, you will develop generative AI applications, AI agents, machine learning solutions, and enterprise integrations while ensuring governance, security, and compliance requirements are met.

• Key ResponsibilitiesDesign and develop AI applications, copilots, AI agents, and machine learning solutions.
• Build and optimise RAG solutions, prompt engineering frameworks, and agentic workflows.
• Develop APIs, integrations, and reusable AI components.
• Implement CI/CD pipelines, MLOps, LLMOps, monitoring, and observability practices.
• Ensure AI solutions adhere to security, privacy, governance, and responsible AI standards.
• Collaborate with architects, data scientists, engineers, and business stakeholders to deliver end-to-end AI solutions.
• Produce technical documentation, testing artefacts, and operational support materials.

Skills & Experience

• Essential3+ years' experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
• Strong Python development experience.
• Experience building and deploying AI, ML, or Generative AI solutions.
• Hands-on experience with APIs, Git, automated testing, CI/CD, and cloud platforms.
• Strong troubleshooting and problem-solving skills.

• DesirableAzure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, or Microsoft 365 Copilot experience.
• Experience with RAG, vector databases, embeddings, and AI agents.
• Understanding of AI governance, cyber security, privacy, and risk management.
• Experience working in banking, financial services, or other regulated environments.

• Technical SkillsPython, REST APIs, Git
• Generative AI & Large Language Models (LLMs)
• Prompt Engineering & RAG
• Vector Databases & Enterprise Search
• Azure AI Services & Copilot Technologies
• MLOps, LLMOps, CI/CD & Containers
• Cloud Platforms & Infrastructure Automation
• Identity & Access Management
• Responsible AI, Security & Data Governance

• What's RequiredStrong communication and stakeholder engagement skills.
• Ability to translate business requirements into technical solutions.
• Passion for building secure, scalable, and production-ready AI applications.
• Collaborative mindset with a focus on continuous improvement and engineering excellence.

If this sounds like you then apply today!

If you’re interested or know someone who might be — feel free to send an updated resume to reshu@hays.com.au. If all aligns, you will be reached out.

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.

About the RoleWe are seeking an experienced AI Engineer to design, build, deploy, and support secure, scalable AI solutions that deliver measurable business value. Working across AI, cloud, data, and software engineering teams, you will develop generative AI applications, AI agents, machine learning solutions, and enterprise integrations while ensuring governance, security, and compliance requirements are met.

• Key ResponsibilitiesDesign and develop AI applications, copilots, AI agents, and machine learning solutions.
• Build and optimise RAG solutions, prompt engineering frameworks, and agentic workflows.
• Develop APIs, integrations, and reusable AI components.
• Implement CI/CD pipelines, MLOps, LLMOps, monitoring, and observability practices.
• Ensure AI solutions adhere to security, privacy, governance, and responsible AI standards.
• Collaborate with architects, data scientists, engineers, and business stakeholders to deliver end-to-end AI solutions.
• Produce technical documentation, testing artefacts, and operational support materials.

Skills & Experience

• Essential3+ years' experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
• Strong Python development experience.
• Experience building and deploying AI, ML, or Generative AI solutions.
• Hands-on experience with APIs, Git, automated testing, CI/CD, and cloud platforms.
• Strong troubleshooting and problem-solving skills.

• DesirableAzure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, or Microsoft 365 Copilot experience.
• Experience with RAG, vector databases, embeddings, and AI agents.
• Understanding of AI governance, cyber security, privacy, and risk management.
• Experience working in banking, financial services, or other regulated environments.

• Technical SkillsPython, REST APIs, Git
• Generative AI & Large Language Models (LLMs)
• Prompt Engineering & RAG
• Vector Databases & Enterprise Search
• Azure AI Services & Copilot Technologies
• MLOps, LLMOps, CI/CD & Containers
• Cloud Platforms & Infrastructure Automation
• Identity & Access Management
• Responsible AI, Security & Data Governance

• What's RequiredStrong communication and stakeholder engagement skills.
• Ability to translate business requirements into technical solutions.
• Passion for building secure, scalable, and production-ready AI applications.
• Collaborative mindset with a focus on continuous improvement and engineering excellence.

If this sounds like you then apply today!

If you’re interested or know someone who might be — feel free to send an updated resume to reshu@hays.com.au. If all aligns, you will be reached out.

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.