An exciting opportunity is available for an experienced AI Engineer to join a large enterprise organisation, helping design, build and deploy secure, scalable AI-enabled applications and services.
The successful candidate will work across front-end, back-end, cloud and AI components to turn business opportunities into reliable production solutions. You'll have the opportunity to develop solutions including AI assistants, intelligent workflow automation, search and knowledge experiences, and generative AI applications.
Working closely with business stakeholders, technology teams, architects and delivery teams, you'll take AI use cases from discovery and prototyping through to secure, governed production environments. You'll also play a key role in establishing reusable engineering patterns and ensuring AI solutions are reliable, supportable and integrated with enterprise systems and data.
This is an initial 12-month contract with the possibility of extension, providing an opportunity to join a technology team undergoing significant AI transformation, working across modern Microsoft and Azure technologies while delivering practical AI solutions that have a direct impact across the organisation.
You Should Have
Proven experience delivering production software as an AI Engineer, Software Engineer or Full-Stack Developer
Strong hands-on experience with
Microsoft Azure and Azure AI services
Experience with
Azure AI Foundry, Azure OpenAI Service, Azure AI Search or Azure Machine Learning
Experience with
Microsoft Copilot Studio, Power Platform or agent-based AI solutions
Experience with a modern front-end framework such as
React or Angular
Strong understanding of generative AI concepts including LLMs, embeddings, vector search, RAG and prompt engineering
Experience designing and consuming APIs and integrating cloud services




Strong understanding of secure authentication and authorisation
Experience with DevOps practices, automated testing and CI/CD
Strong problem-solving and stakeholder communication skills
Ability to work effectively across both technical and business teams
Technical Requirements
Must Have
Microsoft Copilot Studio, Power Platform or agent-based AI solutions
React or Angular
REST APIs and cloud integrations
Secure authentication and authorisation
Embeddings and vector search
Retrieval-augmented generation (RAG)
Prompt engineering and model evaluation
DevOps and CI/CD
Automated testingProduction monitoring and observability
Nice to Have
Experience with data management, data quality and data governance
Experience with metadata, master data or data integration
Knowledge of MLOps or LLMOps
Experience with model lifecycle management
Experience with AI observability
Relevant Microsoft certifications across Azure AI, development, data or solution architecture
Key Responsibilities
Design, develop, test and deploy production-ready AI solutions using Microsoft and Azure AI services
Build and deploy AI assistants and agents using Microsoft Copilot Studio
Develop generative AI, machine learning, intelligent search, document processing and automation capabilities
Design and implement retrieval-augmented generation, prompt orchestration and model evaluation solutions
Implement appropriate AI safety, evaluation and human-in-the-loop patterns
Develop responsive and accessible AI-enabled user experiences




Build secure back-end services, REST APIs and integrations with enterprise applications and data sources
Apply strong software engineering practices including source control, automated testing, code review and CI/CD
Work with business stakeholders and subject matter experts to identify opportunities for AI-enabled improvement
Translate business requirements and use cases into practical technical solutions
Deliver prototypes and proofs of concept before productionising validated solutions
Ensure AI solutions meet appropriate security, privacy and governance requirements
Monitor and optimise AI solutions for performance, availability, latency, scalability and cost
Troubleshoot production issues and contribute to service reliability
Develop reusable components, engineering patterns and deployment practices
Keep up to date with emerging AI and cloud technologies and identify opportunities for their practical adoption
Communicate technical decisions, limitations, risks and operating requirements to technical and non-technical stakeholders
Working Arrangements
Hybrid working arrangement
Perth based
Initial 12-month contract with the possibility of extension
Chance to work on production AI solutions within a large enterprise environment
Exposure to Microsoft Azure and modern AI technologies
Work across generative AI, intelligent automation, AI assistants and agent-based solutions
Opportunity to take AI concepts from prototype through to production
Work closely with business stakeholders, architects and technology teams
Opportunity to contribute to the organisation's broader AI transformation
Exposure to a broad range of cloud, software engineering and AI technologies
Opportunity to develop reusable AI engineering practices and solutions
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📌 Ai Engineer (Perth)
🏢 Verse
📍 Perth