4 days ago

Intelligent Automation Architect

Datacom

Melbourne

4 days ago

Apply

Datacom is seeking an experienced Intelligent Automation Architect to design, govern, and evolve enterprise automation solutions. The role involves partnering with sales, presales, delivery, and clients to shape automation opportunities, define solution architecture, and guide technical direction. The architect will also lead a team of automation engineers and testers, and manage AI-enabled assets within service delivery platforms.

AI-enabledOn-siteFull-timeEntry LevelRPAAnsible

Intelligent Automation Architect

Apply

AI-enabledOn-siteFull-timeEntry LevelRPA

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

RPAAnsiblePowerShellPythonServiceNowAIMachine LearningScriptingOrchestrationCloudInfrastructureArchitectureIntegration PatternsSolution GovernanceData Analytics

Soft Skills

CommunicationLeadershipMentoringCollaborationInfluenceProblem SolvingDocumentationClient-facing

Key Responsibilities

•Partner with Sales and Presales teams to identify existing automation solutions that can be redeployed, adapted, or extended to meet client needs.
•Design fit-for-purpose automation solutions based on agreed blueprints, reference architectures, and business use cases.
•Lead technical discussions, workshops, and solution walkthroughs with clients to gain alignment and approval.
•Create, document, and maintain the target-state technical architecture for automation solutions, ensuring scalability, security, and operational supportability.
•Own and maintain the automation use case backlog and library, using data analytics, operational insights, runbooks, and existing automations to prioritise opportunities.
•Evaluate and recommend the most appropriate automation approach across technologies such as RPA, Ansible, scripting, orchestration, and ServiceNow integrations.
•Develop, manage, and maintain AI-enabled assets used within service delivery platforms, ensuring they are governed appropriately, integrated effectively, and aligned to operational use cases.
•Harvest proven custom solutions developed in the field, standardise them into repeatable patterns or assets, and enable their reuse across clients, platforms, and service delivery teams.
•Lead and mentor a team of automation engineers and testers, providing technical direction, quality oversight, and support for capability development.
•Collaborate with engineering, platform, and service teams to ensure automation solutions align with enterprise standards and delivery capabilities.
•Provide technical leadership during solution shaping, estimation, and transition from presales into delivery.
•Promote reuse, standardisation, and governance across the automation estate to reduce duplication and accelerate time to value.
•Contribute to continuous improvement by reviewing solution performance, identifying optimisation opportunities, and refining architecture patterns over time.

Intelligent AutomationArchitectRPAAnsibleServiceNowAICloudMelbourneFull-timeOn-site

Key Responsibilities

•Partner with Sales and Presales teams to identify existing automation solutions that can be redeployed, adapted, or extended to meet client needs.

•Design fit-for-purpose automation solutions based on agreed blueprints, reference architectures, and business use cases.

•Lead technical discussions, workshops, and solution walkthroughs with clients to gain alignment and approval.

•Create, document, and maintain the target-state technical architecture for automation solutions, ensuring scalability, security, and operational supportability.

•Own and maintain the automation use case backlog and library, using data analytics, operational insights, runbooks, and existing automations to prioritise opportunities.

•Evaluate and recommend the most appropriate automation approach across technologies such as RPA, Ansible, scripting, orchestration, and ServiceNow integrations.

•Develop, manage, and maintain AI-enabled assets used within service delivery platforms, ensuring they are governed appropriately, integrated effectively, and aligned to operational use cases.

•Harvest proven custom solutions developed in the field, standardise them into repeatable patterns or assets, and enable their reuse across clients, platforms, and service delivery teams.

•Lead and mentor a team of automation engineers and testers, providing technical direction, quality oversight, and support for capability development.

•Collaborate with engineering, platform, and service teams to ensure automation solutions align with enterprise standards and delivery capabilities.

•Provide technical leadership during solution shaping, estimation, and transition from presales into delivery.

•Promote reuse, standardisation, and governance across the automation estate to reduce duplication and accelerate time to value.

•Contribute to continuous improvement by reviewing solution performance, identifying optimisation opportunities, and refining architecture patterns over time.