In-Demand Stack software engineer agentic Jobs

Forward Deployed Engineer, Generative AI, GECX, Google Cloud
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Google —Sydney NSW
- Full-time
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- Doctoral degree
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PWC Australia —Sydney NSW
- Azure
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- Master's degree
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EPAM Systems, Inc. —Remote
- Remote
- Azure
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Forward Deployed Engineer III, Gen AI, Retail
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
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Senior Forward Deployed Engineer
Accenture —Canberra ACT
- Full-time
- Azure
- Computer Science
- Engineering
- On-the-job training
- Parental leave
Applied Solutions Architect, Google Cloud
Google —Sydney NSW
- Full-time
- Presentation skills
- Bachelor's degree
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AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
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Senior Engineers x 4 - Full Stack (React/Kotlin)
Reapit ANZ —Milton QLD
- Management
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Quick Apply
Staff Software Engineer
Relevance AI —Sydney NSW
- Full-time
- Hybrid work
- AWS
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Principal Solution Engineer - AI Platform - Hybrid
Flybuys —Melbourne VIC
- Full-time
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- AI
- Work from home
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Reapit ANZ —Sydney NSW
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Quick Apply
13d
Senior Software Engineer-Agentic
Bupa —Melbourne VIC
- Full-time
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Senior AI Engineer
Karbon —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
- Annual leave
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Oliver Wyman - Senior Lead AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
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Staff Software Engineer
Haast —Sydney NSW
- Full-time
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Senior AI Engineer
Reapit ANZ —Sydney NSW
- Remote
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- Bachelor's degree
Quick Apply
Senior AI Engineers - Contract
Reapit ANZ —Sydney NSW
- Contract
- Remote
- SQL
- AWS
- APIs
Quick Apply
Software Engineer - South Bank, QLD
Product and Technology —South Bank QLD
- Full-time
- Software development
- APIs
- Agile
- Health insurance
- Parental leave

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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

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stack software engineer agentic jobs

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