In-Demand Forward deployed engineer iii, gen ai, google cloud Jobs in Carlton Vic

Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
Forward Deployed Engineer III, Gen AI, Retail
Google —Melbourne VIC
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
1d
AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Customer Engineer, Platform, Google Cloud
Google —Melbourne VIC
- Full-time
- Sales
- Systems design
- Presentation skills
6d
Software Engineer, Platform - Melbourne, Australia
Speechify —Melbourne VIC
- Remote
- Azure
- Doctoral degree
- AWS
7d
AWS DevOps Engineer
Accenture —Melbourne VIC
- Full-time
- Software troubleshooting
- DevOps
- AWS
Customer Engineer AI, Financial Services, Google Cloud
Google —Melbourne VIC
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
Strategic Cloud Engineer, Platform and AI Infrastructure
Google —Docklands VIC
- Full-time
- Management
- Computer Science
- DevOps
AI Engineer
Officeworks —Chadstone VIC
- AWS
- APIs
- AI
- Employee assistance program
Principal Threat Intelligence Analyst, Google Threat Intelligence Group
Google —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- No degree
Lead Gen AI Engineer (GCP)
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AWS
- APIs
- Parental leave
8d
Applied Solutions Architect, Google Cloud
Google —Melbourne VIC
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
6d
IT Technical Cloud Support Specialist
BYD Australia —Mulgrave VIC
- Bilingual
- Azure
- Management
9d
Python Developer
JPLoft —Melbourne VIC
- Azure
- SQL
- AWS
- Health insurance
Google Platform Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- APIs
- Communication skills
- Parental leave
Quick Apply
AI Engineering Consultant
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Quick Apply
Enterprise Gen AI Solutions Architect
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Management
- SQL
- Parental leave
8d
Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- PMP
- Research
IT Engineer
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Management
- Software troubleshooting
- Organisational skills
- Work from home
- Parental leave
5h

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Forward Deployed Engineer III, Gen AI, Google Cloud

Google -
Docklands VIC

Apply Now

Job Details

Full-time

Qualifications

Microsoft Excel
Law
Doctoral degree
Computer Science
MCP
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Software development
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: Sydney NSW, Australia; Docklands VIC, Australia.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience managing technical discovery sessions.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol [MCP] servers) that drive measurable Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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

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forward deployed engineer iii, gen ai, google cloud jobs in carlton vic

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