Incredible opportunity to play a critical role in expanding Metricon’s AI Practice by designing, building, integrating and operationalising AI-enabled solutions that improve delivery speed, employee productivity, customer experience, operational efficiency and decision quality across the business. This role is highly hands on and consultative. You'll work across business units, technology teams, vendors and delivery squads to identify high value AI opportunities, translate business problems into scalable technical solutions and deliver secure, production-ready AI applications, The role will anchor on practical AI delivery across Microsoft Copilot, Copilot Studio, Power Platform, Azure AI services, AWS AI/ML and generative AI capabilities, data integration, workflow automation, model orchestration, APIs and enterprise application integration.

Your responsibilities will include: Design, build and deliver AI-powered applications, agents, copilots, automations, prototypes and production-ready solutions that improve business efficiency, customer experience and internal workflows.

Translate business problems into technical solution designs, delivery plans and measurable outcomes.

Build solutions using Microsoft and AWS AI capabilities

Develop AI enabled workflows that integrate with business systems, documents, data sources, APIs, enterprise applications and collaboration platforms

Design and implement prompt engineering, retrieval augmented generation patterns, agent workflows, model evaluation approaches and reusable AI components

Prepare, structure and integrate data required for AI use cases, while ensuring appropriate handling of sensitive, confidential and business-critical information

Support solution testing, validation, monitoring, troubleshooting, optimisation and continuous improvement

Document technical designs, architecture decisions, implementation notes, support models, release notes and operational handover artefacts

Move AI catalysts and proofs of concept into secure, reliable and supportable solutions where there is explicit business value

AI Platform Engineering - Microsoft, AWS,



DevOps and Secure Delivery; and

Navigate AI Change - Practice Enablement and Responsible AI.

Metricon will offer you: Based in our stylish brand new NottingHill Office with stand up desks, ergonomic chairs, free car parking

Play a critical role in expanding Metricon’s AI Practice

Gain hands on People Systems experience with Australia’s leading home builder

Exposure to multiple people disciplines

Metricon Homes Australia’s largest Home Builder for the 10th Consecutive Year A culture that celebrates YOU - We believe in creating an environment where you can truly be yourself; and

No two days are the same - Exposure to a wide variety of admin and tasks.

The successful candidate will have: Significant experience designing, building, deploying & supporting software, automation, data or AI-enabled solutions in enterprise environments

Working experience with AWS services & cloud-native design patterns, ideally including AWS AI/ML or generative AI services. AWS Bedrock, SageMaker, Lambda, API Gateway, S3, CloudWatch, DynamoDB, RDS, ECS/EKS, Step Functions or related AWS services

Experience working with Microsoft AI and automation technologies such as Microsoft Copilot ecosystem, Copilot Studio, Power Platform, Azure AI services, Azure Functions, Logic Apps, Microsoft Graph, Azure OpenAI, Azure AI Search, Azure AI Foundry or related Microsoft AI services

Strong hands-on experience with modern programming languages, preferably C#, Python, JavaScript/TypeScript or equivalent

Experience designing retrieval augmented generation, vector search, document intelligence, semantic search, knowledge assistants or enterprise agent patterns

Experience with model evaluation, LLM testing,



prompt evaluation, guardrails, token/cost optimisation and monitoring of generative AI solutions

Demonstrated experience building AI-enabled applications, workflow automations, data-driven solutions, copilots, agents or integrations

Experience integrating solutions with APIs, enterprise systems, document repositories, collaboration tools, databases or workflow platforms

Experience with DevOps practices, Git-based source control, CI/CD pipelines, infrastructure automation, testing and release management

Understanding of security, privacy, compliance, identity & access considerations when delivering AI enabled solutions

Experience taking solutions from concept or prototype through to production or operational handover

Experience working in Agile delivery environments & using tools such as JIRA, Azure DevOps, GitHub or equivalent

Demonstrated ability to communicate complex technical ideas clearly to business and technical stakeholders; and

Strong analytical and problem-solving capabililty.

Desired Experience

Understanding of responsible AI frameworks, AI risk management, privacy impact considerations and secure-by-design principles

Understanding of Microsoft Entra, identity, access control and application security principles

Understanding of observability tools such as New Relic, Splunk, AWS CloudWatch or equivalent

Understanding of security scanning and quality tools such as SonarQube, DefectDojo, OWASP ZAP or equivalent

Experience with CRM, ERP, HCM, integration, digital, construction, customer portal or field operations domains would be well regarded

Experience working with vendors, cloud partners, consultants or technology suppliers

Excellent interpersonal, collaboration and stakeholder management skills; and

Conceptual thinker with strong problem-solving ability. If you feel you have the knowledge, skills and experience to excel in this role, then apply with your Cover Letter and Resume. This role requires a national police check to be undertaken by the successful candidate

📌 Senior AI Engineer (Melbourne)
🏢 Metricon
📍 Melbourne