In-Demand Ai adoption customer engineer Jobs in Chadstone Vic

AI Adoption Customer Engineer
Google —Docklands VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
20h
Practice Customer Engineer, Artificial Intelligence, Google Cloud
Google —Docklands VIC
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
7d
AI Enablement Analyst
VicRoads —Melbourne VIC
- Up to $110,000 a year
- Full-time
- Remote
- DevOps
- No degree
- Agile
- Work from home
- Parental leave
7d
Java Backend Engineer (AI/LLM Chatbot, Customer Service)
Binance —Melbourne VIC
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
Quick Apply
Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
14d
Forward Deployed Engineer, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
8d
Senior Manager, Solution Consulting Platform AI & Data ( Melbourne or Sydney based)
ServiceNow —Melbourne VIC
- Full-time
- Hybrid work
- CAD
- AI
- Leadership
Quick Apply
14d
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
Front End Engineer
HUB24 —Melbourne VIC
- Full-time
- APIs
- Financial services
- AI
Senior AI Deployment Strategist - Melbourne, Canberra
Mistral AI —Melbourne VIC
- Full-time
- AI
Senior AI Engineer, AI Accelerator - Hybrid
Wesfarmers —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Parental leave
5d
Program Architect
Infosys —Melbourne VIC
- $127,971 - $141,157 a year
5d
Regional Sales Engineer, Major Accounts/Telecommunications (VIC)
CrowdStrike —Melbourne VIC
- Full-time
- Sales
- Organisational skills
- Communication skills
- Parental leave
Forward Deployed Engineer III, GenAI
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
4d
Forward Deployed Engineer - AI Principal
V2 Digital —Melbourne VIC
- Hybrid work
- AI
- Communication skills
- Parental leave
Quick Apply
Agentic Business Lead, AI Accelerator - Hybrid
Wesfarmers —Melbourne VIC
- Full-time
- Hybrid work
- Business development
- Analysis skills
- AI
- Parental leave
5d
Principal Product Manager - Verification & Activation(Exchange)
Crypto.com —Melbourne VIC
- Full-time
- Remote
- SQL
- Product management
- APIs
- Health insurance
- Annual leave
Quick Apply
Product Manager, Intelligence
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- APIs
- AI
- Work from home
- Parental leave
Lead Engineer and Solutions Architect
GIFTBEE AUSTRALIA —South Melbourne VIC
- $120,000.00 - $158,144.75 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
Quick Apply
Customer Experience Customer Success Technical Leader - Splunk
Cisco Systems —Melbourne VIC
- Full-time
- Management
- Research
- Administrative experience

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AI Adoption Customer Engineer

Google -
Docklands VIC

Apply Now

Job Details

Full-time
20 hours ago

Qualifications

Cloud architecture
Doctoral degree
Computer Science
Deployment
Engineering
Enterprise architecture
Master's degree
Presentation skills
Bachelor's degree
AI
Leadership

Full Job Description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
10 years of experience with cloud native enterprise architecture in a customer-facing or support role.
Experience in deployment planning, delivery orchestration, or change management.
Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Ability to travel up to 30% of the time.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience with development or implementation of AI agents in an enterprise environment.
Experience simultaneously guiding multiple customers through the organizational change and delivery preparation to adopt new, cloud-powered business processes.
Experience working with product and support teams and using technical proficiencies to resolve blockers and accelerate customer delivery.
Background in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
Ability to perform deep discovery interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Adoption Customer Engineer (CE), you will embed with our most strategic customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer, stakeholders, partners, and internal product and engineering teams. You will develop, manage and execute the AI deployment plan, by providing technical leadership, applying your skills in enterprise architecture, consultative delivery, applied artificial intelligence engineering, and AI solution engineering. You will have a direct impact on the velocity of customer adoption and business outcomes realized through the successful deployment of enterprise AI solutions and use cases. You will blend delivery expertise, market and industry knowledge, technical implementation, and technical project leadership to realize the value of Google Cloud AI with our most strategic customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness.
Employ code development, debugging, or systems design to resolve technical blockers and accelerate customer time-to-value.
Drive and track progress of the initial and ongoing adoption of enterprise AI, accelerating customers from initial agreement to business outcomes as quickly as possible.
Identify and develop opportunities for new enterprise AI use cases during project execution.
Drive sustainable product usage to help customers realize ongoing business value.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

ai adoption customer engineer jobs in chadstone vic

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