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Google
4.4
Forward Deployed Engineer, Gen AI, Google Cloud
Docklands
$51K - $90K (Glassdoor Est.)
2 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers).…
5d
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Google
4.4
Forward Deployed Engineer III, Gen AI, Google Cloud
Sydney
$86K - $135K (Glassdoor Est.)
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. We also consider qualified applicants regardless of……
11d
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Calab.ai
Software Engineer (Gen AI and Automation)
Remote
$70K - $80K (Employer provided)
Easy Apply
Master’s degree in engineering, Computer Science, or an equivalent proven technical foundation. Hands-on experience with Azure Integration Services (Azure……
17d
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Commonwealth Bank of Australia
3.6
Principal Technology Product Owner- Gen AI, Responsible AI
Melbourne
$156K - $202K (Glassdoor Est.)
Stay current with industry developments, emerging technologies and new products in AI safety, risk and governance, engaging with external researchers, peer……
11d
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The Argyle Network
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
Sydney
$84K - $170K (Glassdoor Est.)
Work hand-in-hand with data scientists, engineers, and stakeholders to deliver production-grade applications. Join a fast-growing Data & AI team that’s shaping……
30d+
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Accenture
3.7
Google Data Engineer
Sydney
$98K - $121K (Glassdoor Est.)
Hands-on experience with Vertex AI and Gemini, including invoking Gemini APIs, building RAG applications with Vertex AI Search and Vector Search, and……
23d
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CareCone IT
3.3
AWS Data Engineer
Sydney
$94K - $173K (Employer provided)
Easy Apply
Familiarity with other relevant languages (e.g., Scala, Spark) for high-performance streaming applications is beneficial. Databases (Relational and No-SQL):…
15d
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Accenture
3.7
Snowflake Engineer
Canberra
$73K - $92K (Glassdoor Est.)
As a Snowflake Engineer you will be responsible for designing, developing, and managing data solutions using the Snowflake cloud data platform.…
23d
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Westpac Group
3.7
Lead AI Engineer - DDAI
Sydney
$86K - $95K (Glassdoor Est.)
Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!…
30d+
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Commonwealth Bank of Australia
3.6
Staff Data Engineer (AWS Cloud and AI)
Sydney
$124K - $165K (Glassdoor Est.)
These assets support strategic decision-making, risk management, and customer success. Deliver end-to-end solutions that meet business needs and minimise risk.…
30d+
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3.6
Chief Engineer, Architecture, Cloud and Operations , x15ventures
Sydney
Bring a strong risk and growth mindset to the team, driving the adoption of DevSecOps mentality, focused on uplifting reliability, testing practices, and……
8d
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Tata Consultancy Services
3.5
Senior Data Engineer
Sydney
$85K - $120K (Glassdoor Est.)
Familiarity with other relevant languages (e.g., Scala, Spark) for high-performance streaming applications is beneficial.…
17d
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Flywire
3.4
Senior Security Engineer (AI & Automation)
Australia
Easy Apply
Practical experience aligning technical controls with standards like SOC 1, SOC 2, PCI-DSS, and emerging AI-governance frameworks.…
17d
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Google

4.4

Forward Deployed Engineer, Gen AI, Google Cloud

Docklands

$51K - $90K (Glassdoor Est.)

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 Science, Technology, Engineering, Mathematics, or equivalent practical experience.
2 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers).
Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform (e.g., Google Cloud Platform).

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, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of "Large Language Model-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customer environments. 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, MCP servers) that drive Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance 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 engineering teams.
Be able to 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.

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Base pay range

The minimum salary is $51K and the max salary is $90K.

$51K – $90K/yr (Glassdoor Est.)

$68K

/yr Median

Docklands

If an employer includes a salary or salary range on their job, we display it as "Employer provided". If a job has no salary data, Glassdoor displays a "Glassdoor estimate" if available. To learn more about "Glassdoor estimates", see our FAQ page.

Working here doesn’t have to be a secret

4.4

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CEO: Sundar Pichai
6,746 Ratings

Google

4.4

Forward Deployed Engineer, Gen AI, Google Cloud

Docklands

$51K - $90K (Glassdoor Est.)

Google

4.4

Forward Deployed Engineer, Gen AI, Google Cloud

Docklands

$51K - $90K (Glassdoor Est.)

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
2 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers).
Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform (e.g., Google Cloud Platform).

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, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of "Large Language Model-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

Responsibilities

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance 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 engineering teams.
Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

See company reviews

Base pay range

The minimum salary is $51K and the max salary is $90K.

$51K – $90K/yr (Glassdoor Est.)

$68K

/yr Median

Docklands

Working here doesn’t have to be a secret

4.4

Recommend to a friend
Approve of CEO
CEO: Sundar Pichai
6,746 Ratings

21 Python gen ai engineer jobs in Australia

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Base pay range

Working here doesn’t have to be a secret

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Base pay range

Working here doesn’t have to be a secret