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at www.accenture.com. Support Engineer
- AI Position Description: Data & Cloud Operations Support 1. Primary Function
• Operate, support and maintain cloud-based AI solutions, leveraging automation and standardised operational processes.
• Manage cloud environments in accordance with company security guidelines, standards and platform requirements.
• Support, troubleshoot and resolve incidents affecting data applications, pipelines, cloud infrastructure and production services.
• Conduct post incident reviews and problem rectification, implementing corrective and preventative actions to reduce incident recurrence.
• Build, modify and support data pipelines to accommodate operational requirements and changes in data structures.
• Review AI pipelines, code and deployments from a support and operational perspective to ensure consistency, quality and production readiness.
• Work collaboratively with Engineering, Development and upstream/downstream system teams to resolve production issues and minimise impacts to applications and key SLAs.
• Liaise with business stakeholders, platform teams, cloud vendors and service providers to investigate and resolve application, infrastructure and production issues.
• Maintain and continuously improve support procedures, operational documentation, troubleshooting guides and production best practices.
• Identify gaps in existing support and operational processes and contribute to service, reliability and process improvements.
• Support cloud deployments and production changes, ensuring appropriate operational controls and best practices are followed.




• Provide technical support and guidance to stakeholders on data-platform applications, services and cloud technologies. 2. Work Experience
• Experience working in Cloud Operations, Production Support, AI Operations or a similar technical support environment.
• Demonstrated experience troubleshooting and analysing AI pipelines, cloud applications, DevOps pipelines and production workloads.
• Robust understanding of data warehousing concepts, including Data Modelling, Agentic AI Solutions, Chatbots, data reconciliation, error handling and data lifecycle concepts.
• Working knowledge of cloud data platforms and technologies, preferably including Microsoft Azure, Snowflake and Databricks.
• Experience supporting Azure services such as Azure Data Factory, ADLS, Key Vault, Azure Functions, Azure Batch service, Azure Machine Learning and related cloud infrastructure.
• Knowledge of Databricks concepts including clusters, policies, Delta Tables and performance optimisation techniques.
• Strong understanding of Snowflake data warehouse concepts and operational best practices.
• Exposure to workflow orchestration technologies such as Control M and associated operational practices.
• Experience with CI/CD and DevOps processes, including source control and deployment pipelines using technologies such as Git and Azure.
• Working knowledge of programming and query languages such as Python,R and SQL;
• Experience supporting production deployments,



code migrations and changes within cloud-based data environments.
• Demonstrated experience in incident management, problem management and root cause analysis.
• Strong problem-solving, analytical and debugging skills.
• Experience using service and collaboration tools such as Jira, Jira Service Desk and Confluence.
• Demonstrated experience identifying and implementing operational or process improvements.
• Experience working across Engineering, Development, Operations and business teams to resolve technical issues and deliver outcomes. 3. Commercial Skills & Qualifications
• Tertiary qualification in Information Technology, Computer Science or a related discipline is preferred.
• Process-oriented approach with strong attention to detail and a commitment to operational quality.
• Good understanding of ITIL principles and service management practices.
• Understanding of IT incident, change and problem management processes.
• Ability to engage effectively with both Business and IT teams.
• Strong communication and stakeholder management skills.
• Customer-centric approach with the ability to understand operational impacts and prioritise service outcomes.
• Ability to communicate technical issues, risks and resolutions clearly to technical and non-technical stakeholders.
• Ability to work collaboratively across cross-functional teams and coordinate activities through to resolution.
• Sound understanding of enterprise IT systems, integrations and dependencies is advantageous.
• Ability to balance incident resolution, operational priorities and continuous improvement activities.
• Relevant Azure, Snowflake or other cloud technology certifications are highly regarded. 4. Additional Responsibilities Area of Accoun

📌 AIML Ops Support Engineer (Melbourne)
🏢 Accenture
📍 Melbourne