In-Demand Embedded systems architect Jobs in Sydney, Nsw

Forward Deployed Engineer III, GenAI
Google —Sydney NSW
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
2d
Forward Deployed Engineer, Gen AI, Google Cloud
Google —Sydney NSW
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
7d
Yocto Linux Staff Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Management
- Computer Science
- DevOps
Quick Apply
C2 Linux Team Lead (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Scripting
- Leadership
Quick Apply
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
(Associate) Director, Account Management
Airwallex —Sydney NSW
- Full-time
- CRM software
- Sales
- Salesforce
Senior Software Engineer, Platforms - Sydney
Arista Networks —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Schematics
Quick Apply
Principal Data Consultant (Advanced Analytics & AI)
Intelligen Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick Apply
Senior Digital Engineer
Morse Micro —Sydney NSW
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Work from home
Quick Apply
Associate Director – Trusted ERP Controls Architect (SAP)
KPMG Australia —Sydney NSW
- Full-time
- Hybrid work
- ERP systems
- Parental leave
Quick Apply
Head of Engineering
Open —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Financial services
- AI
- Work from home
- Parental leave
Quick Apply
13h

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Forward Deployed Engineer, Gen AI, Google Cloud
Google —Sydney NSW
2 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers). See also Google's EEO Policy and EEO is the Law.
7d
Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Sydney NSW
Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

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embedded systems architect jobs near sydney, nsw

Forward Deployed Engineer III, GenAI

Google -
Sydney NSW

Apply Now

Job Details

Full-time
2 days ago

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., Google Cloud Platform).
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 Large Language Model (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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embedded systems architect jobs in sydney, nsw

Forward Deployed Engineer III, GenAI

Forward Deployed Engineer, Gen AI, Google Cloud

Yocto Linux Staff Engineer (AU)

C2 Linux Team Lead (AU)

Senior Data Analytics /BI Lead

(Associate) Director, Account Management

Senior Software Engineer, Platforms - Sydney

Principal Data Consultant (Advanced Analytics & AI)

Senior Digital Engineer

Associate Director – Trusted ERP Controls Architect (SAP)

Head of Engineering

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