In-Demand Artificial intelligence / machine learning engineer Jobs

Forward Deployed Engineer, Generative AI, GECX, Google Cloud
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- Computer science
- Microsoft Excel
- Doctoral degree
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
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- Computer Science
- Engineering
- AWS
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Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
- Full-time
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Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
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- AWS
- Bachelor's degree
Engineering Manager, Technical Lead, Google Photos
Google —Sydney NSW
- Full-time
- Management
- Doctoral degree
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Controls Engineer, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Microsoft Word
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Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
Sr. Systems Development Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AWS
- Software development
Product Manager
Coles Group —Hawthorn East VIC
- Full-time
- Machine learning
- No degree
- Product management
- Free parking
- Employee stock purchase plan
Senior Director, Digital
Alvarez & Marsal —Sydney NSW
- Doctoral degree
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- Master's degree
Enterprise Account Executive
Pluralsight —Melbourne VIC
- Full-time
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Senior Director, Digital
Alvarez and Marsal —Sydney NSW
- Full-time
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Security of AI (Trusted AI) - Associate Director
KPMG Australia —Sydney NSW
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Security of AI (Trusted AI) - Senior Consultant
KPMG Australia —Sydney NSW
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Service Delivery Manager
Future Secure AI —Sydney NSW
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Senior Principal Product Manager
Zendesk —Melbourne VIC
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Emesent —Brisbane QLD
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ABB Australia Pty Limited —Perth WA
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Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Google -
Sydney NSW

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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

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artificial intelligence / machine learning engineer jobs

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Systems Analyst, Region Services

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

Support Engineer, Region Services

Engineering Manager, Technical Lead, Google Photos

Controls Engineer, APAC Controls Deployment & Service

Systems Engineer, Region Services

Sr. Systems Development Engineer, Region Services

Product Manager

Senior Director, Digital

Enterprise Account Executive

Senior Director, Digital

Security of AI (Trusted AI) - Associate Director

Security of AI (Trusted AI) - Senior Consultant

Service Delivery Manager

Senior Principal Product Manager

Talent Acquisition Specialist

Senior Project Engineer

Threat Analyst 2

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