In-Demand Ai automation specialist Jobs in Melbourne, Vic

Australia AI Adoption Specialist
Tomoro —Melbourne VIC
- $120,000 - $180,000 a year
- Full-time
- Hybrid work
- AI
- Health insurance
Quick Apply
AI Technology Specialist
Viva Energy Australia —Melbourne VIC
- Full-time
- Azure
- Computer Science
- Machine learning
Quick Apply
13h
GTM Sales Engineer and AI Automation Specialist
Squiz —Melbourne VIC
- Full-time
- Hybrid work
- CRM software
- Salesforce
- Analysis skills
Quick Apply
Network Technical Specialist
Infosys —Melbourne VIC
- $90,243 - $98,861 a year
- Azure
- Management
- Computer Science
- Health insurance
- Parental leave
Network Technical Specialist for Infra
Infosys —Melbourne VIC
- $108,571 - $119,893 a year
- Rotating roster
- Azure
- Management
- Computer Science
- Health insurance
- Parental leave
AI Enablement Specialist
Buddy Advisory —South Yarra VIC
- $100,000 - $120,000 a year
- Hybrid work
- AI
14d
Product Line Specialist - Digital, Data & Automation
Cargill —Melbourne VIC
- Microsoft Excel
- Salesforce
- AI
Onboarding Operations Specialist - APAC
Remote —Melbourne VIC
- $28,200 - $71,400 a year
- Remote
- Google Suite
- Organisational skills
- AI
- Annual leave
- Work from home
AI Product Engineer
Royal Children's Hospital —Melbourne Western Suburbs VIC
- $160,000 - $175,000 a year
- Full-time
- Computer science
- Azure
- AWS
12d
AI Governance Lead
Intelligen Group —Melbourne VIC
- $170,000 - $185,000 a year
- Full-time
- Hybrid work
- Financial services
- AI
- Analytics
- Work from home
- Free food
Quick Apply
12d
ENM Network Technical Specialist
Infosys —Melbourne VIC
- $90,243 - $98,861 a year
- Rotating roster
- Azure
- Management
- Computer Science
- Health insurance
- Parental leave
Delivery Specialist (Order management)
Infosys —Melbourne VIC
- $90,243 - $98,861 a year
- Salesforce
- Analysis skills
- Agile
- Health insurance
- Parental leave
Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- PMP
- Research
Automation & Systems Specialist
Profitable Tradie —Melbourne VIC
- Full-time
- Remote
- AI
6h
HR Specialist, Contracts Management - APAC
Remote —Melbourne VIC
- $29,750 - $67,000 a year
- Remote
- Google Suite
- Conflict management
- AI
- Annual leave
- Work from home
Payroll Specialist Lead - Australia
Remote —Melbourne VIC
- $102,100 - $114,900 a year
- Remote
- Google Suite
- Microsoft Excel
- English
- Annual leave
- Work from home
Infrastructure and Automation Consultant - Puppet - Initial 6-Month Contract
NCS Australia —Melbourne VIC
- Contract
- Hybrid work
- Azure
- Management
- AWS
- Parental leave
Quick Apply
AI Product Engineer
The Royal Children's Hospital —Parkville VIC
- Full-time
- Computer science
- Azure
- AWS
12d
Senior AWS Data Architect | AI & Data | Melbourne/Sydney
Deloitte —Melbourne VIC
- Salesforce
- SQL
- AWS
- Parental leave
Email Marketing Specialist
Lifely —Melbourne VIC
- $90,000 - $120,000 a year
- Full-time
- Remote
- CRM software
- Bachelor's degree
- AI
Quick Apply

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Australia AI Adoption Specialist

Tomoro -
Melbourne VIC

Quick Apply

Job Details

Full-time
$120,000 - $180,000 a year

Benefits

Health insurance

Qualifications

MCP
Slack
AI

Full Job Description

About Human ProductivityThe Role

As an AI Adoption Specialist, your job is to help enterprise teams work better with AI by changing how work gets done.

You’ll sit at the intersection of workflow design, AI literacy, and the effective use of state-of-the-art general purpose AI tools. Some weeks you're embedded with a client team, observing how work really happens and redesigning it so AI carries the load. Other weeks you're creating the assets and approaches that make the new way of working stick: prompts, skills, quality checks, lightweight automations/ integrations, and simple tools built collaboratively alongside client teams.

You'll work alongside Tomoro's AI Engineers. They build production-grade AI systems. You make sure the humans around those systems (and the humans who don't yet have those systems) are getting the most out of AI, every day.

Think of the goal as five days of outcomes in three days of effort.

What You'll Be DoingWorkflow Discovery and Redesign

Embed with client teams to understand how work actually happens, not how it's supposed to happen. Follow the time, find the friction, and surface the real bottlenecks rather than the ones on the process diagram.
Redesign workflows around AI: accelerating what's already there, removing the drudgery, and unlocking things that weren't previously possible. Measure impact at the workflow level — cycle time, rework, quality consistency, throughput — and track adoption signals as evidence the change is sticking.
Build momentum through short, focused engagements: co-labs, sprints, 1-to-1 and small group coaching that make progress visible fast.

Creating What Teams Need to Adopt AI

Co-create and ship assets teams actually reuse: prompts, custom instructions, skills, QA checks, evaluation prompts, and playbooks. If it isn't reusable, it isn't finished.
Use AI-assisted development tools (Claude Code, Codex, MCP) as your default for building small automations and integrations that remove friction, inside the platforms teams already use: ChatGPT, Adobe, Slack, Microsoft Teams. Connect tools and data sources so teams stop copy-pasting and start flowing.
Build to reflect how the client actually operates: their tone, constraints, risk posture, and governance expectations. Know the ceiling too. When off-the-shelf tools run out of road on reliability, integration, or scale, help shape the next step with Tomoro's AI Engineering team.

Coaching and Sustaining Capability

Move people from "I should use AI" to "AI is my default first step" by working and building alongside them, not by putting them in a room with slides.
Build trust quickly with people who are sceptical, overwhelmed, or both. The antidote isn't a workshop. It's doing real work together and letting the outcomes speak. Coach prompting and verification without being dogmatic, and build the champions and routines that keep improving after you leave.
Help define the conditions for lasting adoption: new habits, processes, incentives, and ways of working. Where you find people who want to go further, help them grow into AI builders themselves.

Requirements

About You

You don't need to come from one specific background. We're looking for people who combine a few things that rarely sit together.

You might be a freelance AI practitioner who's been helping companies adopt AI tools and wants to do it at scale. You might come from an ops or enablement role inside a product company, where you've seen first-hand how hard it is to change how people work. You might have an L&D or behavioural change background and have been pulling AI into your practice because it's clearly where the value is. Or you might be a domain expert - someone deep in a specific field who got frustrated with inefficient ways of working and taught yourself to use AI to do your job faster and better, and now you want to help others do the same.

What matters more than your title is how you work.

These things are the most important attributes for you to be successful.

Being AI-native

You default to AI. Not because it’s novel, but because it helps you get things done. You iterate fast, verify intelligently, and use AI throughout your everyday work.

What good looks like:

You can go from messy input to a reusable asset quickly.
You know when AI is helping versus confidently making things up.
You naturally build simple feedback loops - checks, reviews, sampling - into workflows.

Focus on use and adoption

You care about whether something is useful and whether it will actually be adopted.

What good looks like:

You design workflows that reduce cognitive load, not increase it.
Assets and solutions you create are easy to reuse, easy to adapt, and hard to misuse.
You can explain why the workflow is designed the way it is.

Coaching and behaviour change

You can help people build capability without turning it into training theatre.

What good looks like:

Teams become more confident because they're doing real work with AI, not watching slides or unrelated demos.
You can coach prompting, review habits, and verification without sounding dogmatic.
You build champions and routines that keep improving after you leave.

AI Tooling Literacy

You love exploring AI tools and their application. You know what's available and how to apply it to real work constraints.

What good looks like:

You can pick the right tool, model, or pattern for the task and explain why.
You notice when the landscape meaningfully shifts and translate that into practical options.
You can explain technical concepts to non-technical clients without dumbing them down.

Autonomy and Resourcefulness

You work things out. You don't wait for permission or perfect information.

What good looks like:

You can research a workflow within a new domain quickly and demonstrate opportunities for AI.
You naturally test, learn, and adapt.
When something doesn't work, you try another approach without drama.

Benefits

Generous holiday entitlement

Private medical insurance
Wellness plan
Life Policy
Employee Assistance Programme
Pension
Access to global exclusive discount & savings platforms
And more!

Quick Apply

Refine Your Search

ai automation specialist jobs in melbourne, vic

Australia AI Adoption Specialist

AI Technology Specialist

GTM Sales Engineer and AI Automation Specialist

Network Technical Specialist

Network Technical Specialist for Infra

AI Enablement Specialist

Product Line Specialist - Digital, Data & Automation

Onboarding Operations Specialist - APAC

AI Product Engineer

AI Governance Lead

ENM Network Technical Specialist

Delivery Specialist (Order management)

Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence

Automation & Systems Specialist

HR Specialist, Contracts Management - APAC

Payroll Specialist Lead - Australia

Infrastructure and Automation Consultant - Puppet - Initial 6-Month Contract

AI Product Engineer

Senior AWS Data Architect | AI & Data | Melbourne/Sydney

Email Marketing Specialist

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