In-Demand Python developer Jobs in Moorebank, Nsw

Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
Forward Deployed Engineer III, Gen AI, Retail
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
9d
Customer Engineer AI, Financial Services, Google Cloud
Google —Sydney NSW
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
Enterprise Architect, Professional Services, Google Cloud
Google —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- No degree
9d
Applied Solutions Architect, Google Cloud
Google —Sydney NSW
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
14d
AWS Cloud Engineer
Accenture —Sydney NSW
- Full-time
- Computer Science
- AWS
- Education
AWS Consultant - AWS Connect - CX
Concentrix —Sydney NSW
- Full-time
- DevOps
- SQL
- AWS
Senior ML Engineer
Alinta Energy —Sydney NSW
- Full-time
- Azure
- Machine learning
- AI
- Employee assistance program
3d
Software Engineer II
Microsoft —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
Senior DevOps Engineer
CreditorWatch —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- AWS
- APIs
- Gym membership
Quick Apply
Principal Engineer
Portable —Sydney NSW
- $138,000 - $190,000 a year
- Hybrid work
- Azure
- AWS
- AI
- Profit sharing
- Parental leave
Quick Apply
Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Senior Technical Analyst
FlexTrade —Sydney NSW
- Weekend availability
- Engineering
- Bachelor's degree
- Communication skills
Quick Apply
Senior Solutions Engineer (Presales) - Enterprise Customers
Neo4j —Sydney NSW
- Remote
- Azure
- Computer Science
- Engineering
DevOps Manager
Domain Group —Pyrmont NSW
- Azure
- Management
- Computer Science
Senior Manager Data Science - Ecosystem
Canva —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AI
- Parental leave
Quick Apply
7d
Principal Data Platform Engineer
Simple Machines —Sydney NSW
- Hybrid work
- SQL
- AWS
Quick Apply
Structural Engineer - Product Developer
SkyCiv Engineering —Sydney NSW
- Full-time
- Bachelor's degree
- Work from home
Manager, Model Risk - Life Investments
Challenger —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Excel
- Analysis skills
- Financial services
- Parental leave
1d

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Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Google -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Computer science
Microsoft Excel
Doctoral degree
Computer Science
Full-stack development
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Machine learning
Terrafrom
Software development
APIs
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.

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 architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience debugging agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented generation (RAG) chunking to prevent hallucinations.
Experience in troubleshooting live, high-traffic systems during critical windows.

About the job

As a Gemini Enterprise Customer Experience (GECX) Forward Deployed Engineer (FDE) in Applied AI, you are the agent engineer and the primary driver for our customers most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. You will have an understanding of software engineering, machine learning operations, and cloud infrastructure. This is a high-travel, high-impact role focused on leading technical delivery for conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites.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 the lead developer for conversational Artificial Intelligence (AI) and Customer Experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows.
Architect and code conversational flows that are not just functional, but optimized for the connective tissue between Google’s conversational AI products and customers live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance Evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Identify repeatable field patterns and technical friction points in Google’s Applied AI (AAI) stack, converting them into reusable modules or product feature requests for 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

python developer jobs in moorebank, nsw

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager

Forward Deployed Engineer III, Gen AI, Retail

Customer Engineer AI, Financial Services, Google Cloud

Enterprise Architect, Professional Services, Google Cloud

Applied Solutions Architect, Google Cloud

AWS Cloud Engineer

AWS Consultant - AWS Connect - CX

Senior ML Engineer

Software Engineer II

Senior DevOps Engineer

Principal Engineer

Senior Gemini Platform Engineer

Senior Technical Analyst

Senior Solutions Engineer (Presales) - Enterprise Customers

DevOps Manager

Senior Manager Data Science - Ecosystem

Principal Data Platform Engineer

Structural Engineer - Product Developer

Manager, Model Risk - Life Investments

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