Cloud & AI Platform Specialist - Azure

Datacom; Adelaide; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Remote working

Flexi-hours

Professional development

Social events

Job summary

Datacom is recruiting a Cloud & AI Platform Specialist - Azure to design, build and continuously improve secure Azure cloud and AI platforms for our customers in Australia and New Zealand.

You'll combine strategic consulting with hands-on platform engineering, taking solutions from discovery through to operation and helping identify reusable patterns and delivery accelerators.

Qualifications

• Proven Azure consulting and cloud architecture delivery.
• Hands-on capability with IaC and automation tooling.
• Experience with enterprise AI platforms and security controls.

Responsibilities

• Lead Azure discovery and architecture engagements with secure designs.
• Design Azure foundations: landing zones, identity, networking, governance.
• Build repeatable automation using IaC and GitOps practices.
• Develop AI-ready environments using Azure AI services and secure data integration.
• Collaborate with stakeholders to shape solutions and present technical risk assessments.

Skills

Azure consulting

Cloud architecture

Infrastructure as Code

GitOps

AI platforms

Tools

Terraform

Bicep

GitHub

CI/CD pipelines

Job description

Our Why

Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow.

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

Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. We have managed tomaintaina dynamic, agile, small business feel that is often diluted in larger organisations of our size.It’sour people that give Datacom its unique culture and energy that you can feel from the moment you meet with us.

We care about our people andprovidea range ofperkssuch as social events, chill-out spaces, remote working, flexi-hoursand professional development courses to name a few.You’llhave the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment.

Our digital team is very flexible around how we work and fitting work around non‑negotiable other commitments is important to us, including when we choose to come to the office.

Weoperateat the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.