In-Demand ai research Jobs in melbourne vic

Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- PMP
- Research
Associate Director, AI & Advanced Analytics
CSL Behring —Melbourne VIC
- $181,000 - $214,000 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
13d
Pathfindr – AI Training Facilitator
Affinda Group —Melbourne VIC
- Full-time
- AI
- Communication skills
Quick Apply
Online Data Analyst - Australia
TELUS Digital —Bulleen VIC
- Part-time
- Management
- No experience needed
- Research
Research Engineer – Matilda
Maincode —Melbourne VIC
- Full-time
Copywriter
Monash University —Mulgrave VIC
- $110,527 - $121,227 a year
- Full-time
- Hybrid work
- Writing skills
- AI
5d
Australia AI Adoption Specialist
Tomoro —Melbourne VIC
- $120,000 - $180,000 a year
- Full-time
- Hybrid work
- AI
- Health insurance
Quick Apply
Penetration Tester (Multiple Roles Available)
ANZ Banking Group —Melbourne VIC
- Full-time
- Master's degree
- APIs
- AI
12d
AI Researcher
Maincode —Melbourne VIC
- Full-time
- Research
- APIs
- AI
Product Owner, Threat Intelligence, Hunting and Detection
ANZ Banking Group —Melbourne VIC
- Full-time
- Management
- Research
- Analysis skills
Research Assistant, AI Driven Photonics Design Engineer
RMIT University —Melbourne VIC
- $80,755 - $109,536 a year
- Full-time
- Doctoral degree
- Engineering
- Working with children
Research Assistant (Whole Life Design of Carbon Neutral Infrastructure)
RMIT University —Melbourne VIC
- Full-time
- Civil engineering
- Doctoral degree
- Engineering
Interested in Working with Everseen?
Everseen —Melbourne VIC
- Full-time
- Hybrid work
Consumer Engagement Officer
Royal Children's Hospital —Melbourne VIC
- $83,616 - $91,988 a year
- Part-time
- Microsoft Office
- No degree
- Patient care
- Employee assistance program
- Gym membership
8d
Binance Accelerator Program - Data Scientist (CV, Agentic AI)
Binance —Melbourne VIC
- Part-time
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick Apply
Binance Accelerator Program - LLM Model Training & Data Processing
Binance —Melbourne VIC
- Remote
- Doctoral degree
- Computer Science
- English
Quick Apply
AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Domain Expert, Analyst - Defense (12 Month Fixed-Term)
Dataminr —Melbourne VIC
- Weekend availability
- Hybrid work
- Research
- Bachelor's degree
- AI
- Annual leave
- Professional development assistance
Binance Accelerator Program - Web3 AI Engineer(For blockchain student)
Binance —Melbourne VIC
- Remote
- Computer Science
- Research
- Analysis skills
Quick Apply
Research Fellow in Human-Robot Interaction
University of Melbourne —Parkville VIC
- $106,273 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Parental leave
13h

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

Amazon Web Services Australia Pty Ltd -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Management
PMP
Research
AWS
Certified Scrum Master
PMI Certification
AI

Full Job Description

DESCRIPTION

AWS is seeking a Senior Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their business processes using AI.
Amazon Quick is AWS's enterprise AI platform that enables organizations to transform how work gets done, from knowledge management and research to decision-making and operational workflows. This role focuses on helping customers move beyond AI experimentation to systematic business process reinvention at enterprise scale.
You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-powered business planning, execution, and operation transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of enterprises globally.

Key job responsibilities
Strategic Customer Transformation

Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment.

Offering Development & Scaling

Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale.
Synthesize learnings from customer engagements into documented playbooks, best practices, and success patterns that inform AWS product roadmap and GTM strategy.

Partner Ecosystem Enablement

Co-develop transformation offerings with strategic consulting partners (GSIs, SIs, boutique AI consultancies) and support the partner-led organization as they create enablement programs, including training, certification, and delivery toolkits, that scale high-quality customer success delivery through the partner ecosystem.

Customer Success Management

Monitor customer transformation health and proactively address adoption barriers while driving measurable business value realization (productivity gains, cost reduction, decision quality improvement) through structured success planning and executive business reviews.

Thought Leadership & Innovation

Develop leading point-of-view content, maturity models, and best practices for AI-powered business execution transformation that establish AWS intellectual leadership
Influence Amazon Quick product roadmap through synthesized customer insights and represent AWS as a recognized expert at industry forums and executive events.

About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

7+ years of experience in senior customer-facing roles including customer success management, strategic consulting, or business transformation advisory, with direct accountability for enterprise customer outcomes
10+ years leading complex, large-scale business transformation or organizational change programs with significant technology enablement components in enterprise contexts
Deep expertise in enterprise business execution and process transformation, with direct experience advising organizations through significant operational reinvention initiatives (not just technology implementations)
L300+ understanding of Amazon Quick capabilities (AI-powered search, research agents, custom agents, workflows, knowledge management) and the AWS Gen AI platform (Amazon Bedrock, SageMaker, foundational models, RAG architectures) with ability to articulate technical capabilities in business value terms to executive audiences
Demonstrated experience leading enterprise change management initiatives involving AI/automation adoption, including organizational capability building and adoption measurement

PREFERRED QUALIFICATIONS

Proven track record developing and scaling customer success programs or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organizations
5+ years of direct experience in business operations transformation, process optimization, or enterprise productivity initiatives at scale, with measurable outcomes achieved
Strong executive presence with demonstrated ability to influence C-suite and VP-level stakeholders on business strategy and operational transformation (not just technology decisions)
Deep understanding of AI/ML capabilities for business operations including knowledge management, research and analysis, decision support, workflow automation, and agentic AI for autonomous task execution
Demonstrated ability to synthesize complex customer insights into actionable strategic frameworks with broad applicability across industries
Hands-on experience with Amazon Quick, AWS AI/ML services (Bedrock, SageMaker), or comparable enterprise AI platforms in customer-facing delivery contexts
Understanding of enterprise data architectures, governance frameworks, and integration patterns required for AI-powered business operations
PMP, SCRUM, Agile, or SAFe certification with demonstrated track record driving measurable business outcomes (productivity improvement, cost reduction, decision quality) in enterprise transformation initiatives
Experience designing large-scale organizational change management programs including communication, training, and adoption measurement systems
Experience building partner ecosystems and enablement programs, including co-developing transformation methodologies with strategic consulting partners
Published thought leadership in business transformation, AI adoption, or enterprise productivity, with track record influencing product roadmaps through customer insight synthesis

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

Refine Your Search

ai research jobs in melbourne vic

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

Associate Director, AI & Advanced Analytics

Pathfindr – AI Training Facilitator

Online Data Analyst - Australia

Research Engineer – Matilda

Copywriter

Australia AI Adoption Specialist

Penetration Tester (Multiple Roles Available)

AI Researcher

Product Owner, Threat Intelligence, Hunting and Detection

Research Assistant, AI Driven Photonics Design Engineer

Research Assistant (Whole Life Design of Carbon Neutral Infrastructure)

Interested in Working with Everseen?

Consumer Engagement Officer

Binance Accelerator Program - Data Scientist (CV, Agentic AI)

Binance Accelerator Program - LLM Model Training & Data Processing

AI Software Engineer (Model Training)

Domain Expert, Analyst - Defense (12 Month Fixed-Term)

Binance Accelerator Program - Web3 AI Engineer(For blockchain student)

Research Fellow in Human-Robot Interaction

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