In-Demand Stack developer Jobs in Taylors Lakes Vic

Forward Deployed Engineer III, Gen AI, Retail
Google —Melbourne VIC
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
2h
Senior D365 CE Developer - Contract
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- CRM software
- SQL
- APIs
- Parental leave
Quick Apply
16h
Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Technical Delivery Lead
Bild Group —Campbellfield VIC
- Full-time
- Azure
- Master's degree
- APIs
6d
Staff Mobile Engineer, Spend Foundation
Airwallex —Melbourne VIC
- Full-time
- Computer Science
- Salesforce
- Engineering
Staff Software Engineer - Frontend Web Platform KICK
Easygo —Melbourne VIC
- Full-time
- Computer science
- Computer Science
- Office
- Work from home
- Employee assistance program
Quick Apply
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Technical Product Owner
Mercer —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- Management
- Computer Science
8d
Customer Success Manager
Cloud Factory —Melbourne VIC
- On call
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Platform Engineer
Karbon —Melbourne VIC
- On call
- Computer science
- Azure
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
Director, Lakebase Sales Specialists
Databricks —Melbourne VIC
- Sales
- APIs
- AI
Principal Solution Engineer - AI Platform - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Work from home
14d
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Engineering Manager (Front-End) - Small Biz Experience
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- AI
- Leadership
Senior Platform Engineer
Publicis Groupe Holdings B.V —Southbank VIC
- Azure
- Management
- DevOps
Quick Apply
1d
Enterprise Applications Sales Specialist, VMware Engine and SAP (English)
Google —Melbourne VIC
- Full-time
- Sales
- Bachelor's degree
- No degree
3d
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
13d

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Forward Deployed Engineer III, Gen AI, Retail

Google -
Melbourne VIC

Apply Now

Job Details

Full-time
2 hours ago

Qualifications

Computer science
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; Melbourne 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 in developing Agentic AI solution in the Retail industry (e.g., Groceries, FMCG, or other Retail services).
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.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience managing technical discovery sessions.
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

Refine Your Search

stack developer jobs in taylors lakes vic

Forward Deployed Engineer III, Gen AI, Retail

Senior D365 CE Developer - Contract

Forward Deployed Engineering Manager, Gen AI

Technical Delivery Lead

Staff Mobile Engineer, Spend Foundation

Staff Software Engineer - Frontend Web Platform KICK

Senior AI Engineer

Technical Product Owner

Customer Success Manager

Delivery Consultant, AWS Professional Services

Platform Engineer

Senior Product Data Engineer

Senior Platform Engineer

Director, Lakebase Sales Specialists

Principal Solution Engineer - AI Platform - Hybrid

Senior Gemini Platform Engineer

Engineering Manager (Front-End) - Small Biz Experience

Senior Platform Engineer

Enterprise Applications Sales Specialist, VMware Engine and SAP (English)

Senior Principal Product Manager

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