In-Demand Forward deployed engineering manager, gen ai Jobs in Sydney, Nsw

Forward Deployed Engineering Manager, Gen AI
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Engineering
8h
Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Sydney NSW
- Full-time
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Manager, Forward Deployed Engineering
Databricks —Sydney NSW
- AI
- Leadership
Junior Forward Deployed Engineer
Lyra Technologies —Millers Point NSW
- $83,200 - $112,000 a year
- Full-time
- Hybrid work
- Communication skills
- Referral program
- Free food
Quick Apply
2d
Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- PMP
- Research
Senior Forward Deployed Engineer
Workato —Sydney NSW
- Salesforce
- Databases
- Analysis skills
Quick Apply
7d
Sr. Forward Deployed Engineer
Databricks —Sydney NSW
- AI
AI Delivery Lead - Sydney/Melbourne
Capgemini Sogeti —Sydney NSW
- Azure
- AWS
- Agile
17h
Generative AI Engineer
ResMed —Sydney NSW
- Full-time
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Gen AI Art Director
Jellyfish —Sydney NSW
- Full-time
- Hybrid work
- AI
- Marketing
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AI Pursuit Strategic Account Manager - Sydney
Arista Networks —Sydney NSW
- Full-time
- Sales
- Master's degree
- Bachelor's degree
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Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
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- Azure
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Gen AI Architect Google
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
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- Parental leave
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AI Enabled Solution Architect
Insight Enterprises —Sydney NSW
- Azure
- DevOps
- Master's degree
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Principal Software Engineer (AI)
Commonwealth Bank —Sydney NSW
- Full-time
- Master's degree
- AWS
- APIs
14d
Staff Software Engineer (AI)
Commonwealth Bank —Sydney NSW
- Full-time
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14d
Growth Marketing Manager
Appetise —Surry Hills NSW
- Hybrid work
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Senior Software Engineer - Generative AI
Cover Genius —Sydney NSW
- Full-time
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- Computer Science
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Senior Product Marketing Manager
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- Sales
- AI
- Marketing
- Annual leave
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Research and Development Engineer
Signify —Sydney NSW
- CAD
- Bachelor's degree
- Manufacturing

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forward deployed engineering manager, gen ai jobs near sydney, nsw

Forward Deployed Engineering Manager, Gen AI

Google -
Sydney NSW

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Job Details

Full-time
8 hours ago

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.

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

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