Cloud & AI Platform Specialist - Azure

About Us At Datacom, we combine technology, expertise, and talented people to help organisations thrive in a rapidly changing world. As one of Australasia's leading technology providers, we work with customers across industries to solve real-world problems and deliver meaningful outcomes. Whether we're supporting governments, enterprise organisations, or growing businesses, we're committed to creating meaningful outcomes for our customers, communities, and each other. About the Role As a Cloud & AI Platform Specialist - Azure, you’ll help customers design, build and continuously improve secure, resilient and well-governed Azure cloud and AI platforms. Combining strategic consulting with hands-on platform engineering, you’ll take solutions from discovery and architecture through to implementation and ongoing operation. You’ll work with customer architects, engineering teams, security and operations specialists, executives and account teams to enable cloud adoption, AI adoption and modern software delivery. You’ll also identify repeatable patterns from customer engagements and help develop them into reusable solutions, reference architectures and delivery accelerators. This is a broad, future-focused role for someone who is comfortable facilitating an architecture workshop, designing a modern platform, contributing to code-based delivery and communicating the commercial value of a solution. What You’ll Do Lead Azure discovery, advisory and architecture engagements, translating customer objectives into secure and practical platform designs. Design and implement Azure platform foundations, including landing zones, identity, networking, governance, policy, security controls and self-service capabilities. Build repeatable automation using Infrastructure as Code, GitOps, policy as code and continuous integration and delivery practices. Design and deploy AI-ready environments using services such as Azure AI Foundry, Azure OpenAI and Azure AI Search, including retrieval-augmented generation, vector search and secure data integration patterns. Develop and support governed agentic workflows, including tool integrations, human oversight, lifecycle controls, testing, monitoring and cost management. Establish responsible AI practices, including model and agent governance, data and prompt controls, security guardrails, consumption management and operational accountability. Enable engineering teams through GitHub Enterprise, GitHub Actions, GitHub Advanced Security, GitHub Copilot and secure, AI-assisted software delivery practices. Establish observability and reliability practices across cloud platforms, applications, AI services and agentic workflows, including telemetry, dashboards, service objectives, runbooks and automated remediation. Contribute reusable architectures, automation, tools and delivery patterns that strengthen cloud and AI platform capability. Support solution shaping, estimates, proposals, risk assessments and customer presentations, communicating effectively with technical and executive stakeholders. What You’ll Bring Proven experience in Azure consulting, cloud architecture and customer-facing technology delivery. Strong hands-on capability in cloud platform engineering, infrastructure automation and Infrastructure as Code using technologies such as Terraform or Bicep. Strong knowledge of secure-by-design cloud foundations, including identity, networking, governance, policy, security and operational controls. Demonstrated experience designing, implementing or supporting AI platforms and AI-enabled solutions in an enterprise environment. Practical experience with Azure AI services such as Azure AI Foundry, Azure OpenAI or Azure AI Search, or comparable enterprise AI platform technologies. Strong understanding of AI solution patterns, including retrieval-augmented generation, vector search, secure data integration, model access controls and responsible AI governance. Experience designing or supporting agentic workflows, AI automation, tool integrations or AI-powered business processes. Understanding of the security, governance, testing, observability, lifecycle and cost considerations associated with enterprise AI and agentic solutions. Practical knowledge of modern developer tooling and delivery practices, including APIs, containers, test automation, CI/CD, GitOps and secure software development. Fluency in one or more modern development languages, such as Python, TypeScript, C#, Java, Go or Rust, with the ability to design, interpret and contribute to code-based solutions. Strong communication and stakeholder engagement skills, including the ability to explain complex platform and AI decisions and their business value to technical and executive audiences. Commercial awareness and experience contributing to workshops, solution shaping, estimates, proposals or technical risk assessments. Desirable Experience Advanced AI engineering or enterprise-scale AI application development. Experience with AI gateways, model observability, Model Context Protocol or comparable tool integration patterns. Kubernetes platform engineering, FinOps or advanced security architecture. Product development, software-as-a-service design or managed service transition experience. Relevant Azure, AI, GitHub or Terraform certifications. Experience mentoring others, contributing to technical communities or owning reference architectures. Culture and benefits Join a team where you'll be supported to grow your career, prioritise your wellbeing, and make a genuine impact. From industry-leading learning and development opportunities to parental leave, wellbeing support, and employee benefits, we're committed to helping our people thrive both professionally and personally We're passionate about creating a workplace where people feel supported, empowered, and inspired to do their best work. Whether you're developing new skills, tackling complex challenges, or collaborating with some of the best minds in the industry, you'll be part of a team that values curiosity, innovation, inclusion, and making a genuine difference. Why you will love working here Paid parental leave 24/7 Employee Assistance Programme (DataCare) Ongoing learning, certifications, and career development opportunities Access to industry-leading learning platforms and future skills training Recognition programmes that celebrate great work Great employee discounts and financial wellbeing benefits Meaningful work that makes a real impact Eligibility criteria and conditions may apply to some benefits. .