In-Demand Lead machine learning engineer Jobs in Sydney, Nsw

Forward Deployed Engineering Manager, Gen AI
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Principal AI Engineer
MYOB —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Chief Engineer
Westpac Group —Sydney NSW
- Full-time
- AI
6d
AI Engineering Manager
MYOB —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program
Engineering Lead/Manager, Risk (Relocate to Singapore)
Airwallex —Sydney NSW
- Full-time
- Management
- Computer Science
- Salesforce
Senior Data Scientist (Customer Experience Focus) - 12-month FTC
TPG Telecom —Barangaroo NSW
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Principal Identity Engineer
Okta —Sydney NSW
- Management
- AI
Quick Apply
5d
Product Manager - Video Analytics
Unleash live —Sydney NSW
- Full-time
- Hybrid work
- No degree
- AI
Security of AI (Trusted AI) - Associate Director
KPMG —Sydney NSW
- Full-time
- Azure
- AWS
- AI
- Parental leave
2d
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Lead Agentic AI Developer
News Corp —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- Databases
- Parental leave
2d
Security of AI (Trusted AI) - Associate Director
KPMG Australia —Sydney NSW
- Full-time
- Azure
- AWS
- AI
- Parental leave
Quick Apply
2d
Legal AI Business Consultant
Corto Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- Writing skills
- AI
- Gym membership
Quick Apply
11d
Senior Azure Cloud Customer Experience Engineer - Japanese Speaking
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
AI Audio Codec Algorithm and Standardization Engineer
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Research

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Forward Deployed Engineering Manager, Gen AI

Google -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Doctoral degree
Computer Science
MCP
Engineering
Master's degree
Bachelor's degree
Machine learning
Systems engineering
Cloud computing
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 Science, Technology, Engineering, Mathematics, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
Experience in machine learning and in developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
Ability to perform deep ‘discovery’ interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.

About the job

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. In this role, you will provide deep-dive technical mentorship to your team while balancing high-level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
Lead technical hiring for forward deployed engineering, evaluating Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
Identify skill gaps in emerging tech (model context protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.

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

lead machine learning engineer jobs in sydney, nsw

Forward Deployed Engineering Manager, Gen AI

Principal AI Engineer

Chief Engineer

AI Engineering Manager

Sr Security Engineer, Region Services

Engineering Lead/Manager, Risk (Relocate to Singapore)

Senior Data Scientist (Customer Experience Focus) - 12-month FTC

Principal Identity Engineer

Product Manager - Video Analytics

Security of AI (Trusted AI) - Associate Director

Senior Consultant - Data & Analytics (Open)

Lead Agentic AI Developer

Security of AI (Trusted AI) - Associate Director

Legal AI Business Consultant

Senior Azure Cloud Customer Experience Engineer - Japanese Speaking

AI Audio Codec Algorithm and Standardization Engineer

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