In-Demand Intelligence developer Jobs in Parramatta, Nsw

Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Sydney NSW
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
Front-End Software Engineer, Google Photos
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
11d
AI Adoption Customer Engineer
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Engineering
14d
Cybercrime investigator
Microsoft —Sydney NSW
- Full-time
- Research
- Bachelor's degree
- No degree
Business Development Manager - South Pacific
Cummins Inc. —Wetherill Park NSW
- Management
- Sales
- Business development
Bid Leader - Data Centers
Siemens —Sydney NSW
- Full-time
- Engineering
7h
Client Executive
Thales —Barangaroo NSW
- Full-time
- Hybrid work
- CRM software
- Sales
- Financial services
- Parental leave
Software Engineer, Sovereign Cloud
Google —Sydney NSW
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Team Assistant
CBRE —Sydney NSW
- Full-time
- AI
- Parental leave
- Employee assistance program
Deployment Lead, AI Infrastructure, Google Cloud
Google —Sydney NSW
- Full-time
- Computer Science
- Engineering
- Systems design
6d
Site Reliability Engineer
Dovetail —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree
- Annual leave
- Work from home
Business Development Director
Peak Energy —Sydney NSW
- $230,000 - $280,000 a year
- Full-time
- Remote
- Sales
- Engineering
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
1d
Cloud Security Engineer
Nuix —Sydney NSW
- Hybrid work
- Azure
- AWS
- Scripting
Lakebase Specialist Sales
Databricks —Sydney NSW
- Azure
- Sales
- Databases
Senior Staff Solutions Engineer
Kong —Sydney NSW
- Full-time
- Remote
- Management
- Computer Science
- Engineering
Senior Platform Engineer Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- Scripting
- Agile
- Annual leave
- Work from home
Renewal Manager - APJ
Kong —Sydney NSW
- Full-time
- Hybrid work
- Sales
- Analysis skills
- APIs
Senior Software Engineer - Quality Engineering
ResMed —Bella Vista NSW
- Full-time
- Computer science
- Computer Science
- Engineering
12d
Senior Software Engineer II
RELX —Sydney NSW
- Full-time
- Management
- Software development
- AI
- Health insurance
- Employee assistance program
Engineering Manager
SafetyCulture —Sydney NSW
- Full-time
- In-person
- AI
- Leadership
- Parental leave
- Employee assistance program
4d

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Forward Deployed Engineer III, Gen AI, Google Cloud

Google -
Sydney NSW

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

Refine Your Search

intelligence developer jobs in parramatta, nsw

Forward Deployed Engineer III, Gen AI, Google Cloud

Front-End Software Engineer, Google Photos

AI Adoption Customer Engineer

Cybercrime investigator

Business Development Manager - South Pacific

Bid Leader - Data Centers

Client Executive

Software Engineer, Sovereign Cloud

Team Assistant

Deployment Lead, AI Infrastructure, Google Cloud

Site Reliability Engineer

Business Development Director

Cloud Security Engineer

Lakebase Specialist Sales

Senior Staff Solutions Engineer

Senior Platform Engineer Lead

Renewal Manager - APJ

Senior Software Engineer - Quality Engineering

Senior Software Engineer II

Engineering Manager

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