In-Demand Stack software engineer agentic Jobs

Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
AI Engineer / Data Scientist (Agentic AI) | Associate/Senior Associate
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
Solutions Architect (AI Native SDLC)
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Master's degree
- AWS
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
- Master's degree
- AWS
Applied Solutions Architect
Google —Melbourne VIC
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
4d
Senior Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AI
- Communication skills
5d
Full Stack Tech Lead
hipages Group —Sydney NSW
- Hybrid work
- AWS
- AI
Quick Apply
Senior . Net API Engineers x 2 - API Platform
Reapit ANZ —Milton QLD
- Computer Science
- Engineering
- Research
Quick Apply
Senior Forward Deployed Engineer
PALO IT —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Systems design
- AWS
Quick Apply
8h
Senior/Staff Software Engineer
Gridsight —Canberra ACT
- Full-time
- Master's degree
- AI
Quick Apply
Senior Engineer, Full Stack (React/.NET)
Reapit ANZ —Milton QLD
- Contract
- Hybrid work
- DevOps
- AWS
- Organisational skills
Quick Apply
Senior Software Engineer
ELMO Software Pty Ltd —Sydney NSW
- Contract
- Azure
- Databases
- APIs
- Parental leave
- Employee assistance program
Quick Apply
4d
Senior Engineer - .Net Migration - AI Automation
Reapit ANZ —Milton QLD
- AI
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Principal Engineer - Data
Buildkite —Remote
- Remote
- AI
Quick Apply
Solution Architect
Transport For NSW —Macquarie Park NSW
- $158,393 - $177,399 a year
- Full-time
- Azure
- Salesforce
- AWS
20h
Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
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Senior Machine Learning Engineer
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- AI
5d
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
Tech Lead
Magentus —Fortitude Valley QLD
- Hybrid work
- AWS
- AI

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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

Refine Your Search

stack software engineer agentic jobs

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

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