In-Demand Customer engineer ai, financial services, google cloud Jobs in Melbourne Vic

Customer Engineer AI, Financial Services, Google Cloud
Google —Melbourne VIC
- Full-time
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- Bachelor's degree
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- Internship
- Work from home
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AWS DevOps Engineer
Accenture —Melbourne VIC
- Full-time
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Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
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IT Support Technician - Support Helpdesk
Beyond the Box —Essendon VIC
- Remote
- Working with children
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Technical Account Manager, Google Cloud Consulting
Google —Melbourne VIC
- Full-time
- Management
- Computer Science
- Engineering
8d
2027 Siemens Graduate Program - Engineering
Siemens —Melbourne VIC
- Overtime
- Hybrid work
- Salesforce
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- Parental leave
FinCrime Analyst (Investigations)
Revolut —Melbourne VIC
- Weekend availability
- Remote
- English
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Software Engineer, Data Infrastructure & Acquisition - Melbourne, Australia
Speechify —Melbourne VIC
- Remote
- Doctoral degree
- Computer Science
- Master's degree
10d
Penetration Tester (Multiple Roles Available)
ANZ Banking Group —Melbourne VIC
- Full-time
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AI/ML Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
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2d
Data/ Java Engineer (AI/LLM Chatbot, Customer Service)
Binance —Melbourne VIC
- Full-time
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AWS Cloud Engineer
Accenture —Melbourne VIC
- Full-time
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Binance —Melbourne VIC
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Technical Implementation & Support Engineer (APAC)
Nicolab —Melbourne VIC
- $120,000 - $150,000 a year
- Part-time
- Remote
- AWS
- Education
- Bachelor's degree
- Annual leave
- Referral program
Quick Apply
Expressions of Interest - Product Owners & Business Analysts
Kogan —South Melbourne VIC
- Urgently hiring
- Analysis skills
- Agile
- Communication skills
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Application Support Engineer - Employment Information Kit
ConnectEast —Ringwood VIC
- Part-time
- Oracle
- Management
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- Employee assistance program
Agile Business Analyst - Fixed Term 12 months
Gigacomm —Melbourne VIC
- Full-time
- Hybrid work
- APIs
- Agile
- AI
Quick Apply
Business Analyst (12 Month Fixed Term)
Endava —Melbourne VIC
- Full-time
- Hybrid work
- Analysis skills
- Software development
- Agile
- Work from home
- Parental leave
Quick Apply

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Customer Engineer AI, Financial Services, Google Cloud

Google -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Cloud architecture
MCP
Application development
SQL
OS Kernels
Presentation skills
Bachelor's degree
APIs
Security
AI

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: Melbourne VIC, Australia; Sydney NSW, Australia.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration.
Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.
Experience with search systems including retrieval, ranking, and search quality tuning.
Experience with presenting to technical stakeholders and executive leaders.

Preferred qualifications:

Experience developing agents using frameworks such as langgraph, semantic kernel, or Google AI Agent Development Kit (ADK).
Experience with iPaaS, API Gateways, or Enterprise Service Buses (ESBs) in a cloud environment.
Experience with functional evaluation metrics used to assess model quality and agent quality.
Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.
Knowledge of application integration governance and security, including short-lived credential management.
Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API Gateways.

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 a Practice Customer Engineer specializing in Gemini Enterprise, you will partner with Technical Sales teams to differentiate Google Cloud to the customers. You will serve as the technical authority on integrating generative AI into enterprise environments, moving beyond the chat interfaces to architecting secure, and data-connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend business expertise, market knowledge, and technical engagement to prove the value of the Google Cloud AI portfolio.

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

Drive the technical win for workloads within Gemini enterprise to ensure adoption, support the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.
Combine business strategies with development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
Provide technical consultation to customers on enterprise AI integration patterns, act as a technical advisor and build customer relationships.
Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
Travel to customer sites, conferences, and other related events as needed, acting as a public advocate for Google Cloud.

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

customer engineer ai, financial services, google cloud jobs in melbourne vic

Customer Engineer AI, Financial Services, Google Cloud

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