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AI Technology Specialist
Viva Energy Australia —Melbourne VIC
- Full-time
- Azure
- Computer Science
- Machine learning
Quick Apply
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AI Technology Specialist

Viva Energy Australia -
Melbourne VIC

Quick Apply

Job Details

Full-time
6 hours ago

Qualifications

CI/CD
Azure
Computer Science
Machine learning
Software development
Cybersecurity
AI
Information Technology

Full Job Description

Company Description

Do amazing work

A career with Viva Energy is more than just a job. It’s a chance to join a group of people dedicated to supporting Australia’s evolving energy and convenience needs. We’re a leading retail, industrial and years.

Our plans for the future support Australia’s energy transition to sustainable, lower carbon energy solutions. And our recent acquisitions of Coles Express and OTR, we provide Australians with outstanding convenience.

At the heart of our plans is people power. People who want to grow and evolve with us. People with new perspectives, energy and passion to drive Viva Energy and their careers forward.

About Viva Energy

Join a team that values diversity. Viva Energy is a great place to be yourself. We believe in our people, trust in their positive intentions, and empower everyone to amplify their voice across the business. We value inclusion because that’s how we get the best outcomes.

Awarded the WGEA Employer of Choice for Gender Equality for the past five years highlights that we are driven by our people and continuing our focus on making Viva Energy reflect the ever-changing face of Australia.

Job Description

Viva Energy Australia is hiring an AI Technology Specialist who will play a key role in identifying, designing, implementing and optimising AI-enabled solutions that deliver measurable business value.

Working closely with business stakeholders, architects, data specialists and technology teams, the role supports the adoption of enterprise AI capabilities, including Microsoft Copilot, Azure AI and intelligent automation solutions, while ensuring compliance with governance, security and responsible AI principles.

Responsibilities & Requirements

Partner with business and technology teams to identify, assess and deliver AI and automation use cases that improve productivity, decision making and customer outcomes.
Design, configure and implement AI-enabled solutions using approved enterprise platforms and services.
Contribute to the development and enhancement of enterprise AI capabilities, patterns, standards and reusable components.
Support the adoption of Microsoft AI technologies including Copilot, Azure AI, Fabric and intelligent automation solutions.
Translate business requirements into technical solution designs and implementation plans.
Participate in solution design, testing, deployment and operational support activities for AI solutions.
Perform data preparation, analysis and validation activities to support AI solution delivery.
Ensure AI solutions comply with enterprise architecture, cyber security, privacy, compliance and responsible AI requirements.
Monitor solution performance and identify opportunities for optimisation and continuous improvement.
Create and maintain documentation including solution designs, operating procedures, governance artefacts and knowledge articles.
Support AI literacy and capability uplift across technology and business teams through collaboration, coaching and knowledge sharing.
Contribute to AI platform operations, release management and service improvement activities.

Qualifications

Degree in Computer Science, Information Technology, Data Science, Engineering or related discipline.
Experience delivering technology solutions involving artificial intelligence, analytics, automation or modern cloud platforms.
Experience working with Microsoft technologies including Azure, Microsoft 365, Power Platform, Copilot Foundry or comparable cloud platforms.
Understanding of AI, machine learning, generative AI and intelligent automation concepts.
Experience participating in software development, solution delivery or technology transformation initiatives.
Understanding of data governance, privacy, cyber security and responsible AI principles.
Experience working within enterprise environments using structured delivery and governance practices.
Exposure to DevOps, MLOps, CI/CD or modern software engineering practices would be advantageous.

Additional Information

We welcome applicants from diverse backgrounds including Aboriginal and Torres Strait Islander people and encourage and support diversity in our traditional and non-traditional roles.

Please note: This role is being sourced through Viva Energy Australia, therefore we will not be accepting applications via external recruitment agencies.

Applications Close 4 August 2026

Quick Apply

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