In-Demand Solution architect power platform Jobs in Melbourne, Vic

Forward Deployed Engineer III, Conversational AI
Google —Melbourne VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
1d
Staff Software Engineer – eCommerce Payments
Commonwealth Bank —Melbourne VIC
- Full-time
- AWS
- APIs
- Communication skills
Senior Engineer - Salesforce
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Salesforce
- AWS
- Agile
- Parental leave
2d
Integration Engineer - Cloud iPaaS Full Stack
Accenture —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
- Parental leave
7d
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Customer Solutions Manager, ANZ
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Business development
Cloud Consultant
Fujitsu —Melbourne VIC
- Azure
- Management
- Computer Science
Senior System Development Engineer, Core Networking (Relocation support available)
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AWS
- Software development
- Health insurance
- Employee assistance program
8d
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
7d
Microsoft Dynamics 365 Business Central Lead Functional/ Technical Consultant
Wild Tech —Melbourne VIC
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's degree
- Business Administration
Quick Apply
Salesforce Business Analyst
Monks —Melbourne VIC
- Azure
- Sales
- Salesforce
Quick Apply
Senior Salesforce Consultant
Monks —Melbourne VIC
- Sales
- Salesforce
- Bachelor's degree
Quick Apply
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Pr. Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer science
- Computer Science
- Engineering
Delivery Consultant: Full Stack Engineer, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- Systems design
- AWS
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Sr. Amazon Quick Strategist, Amazon Quick Customer Success Team, AWS
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Business development
- AWS
- AI
Workday Financials Procure to Pay Lead (AU Citizen for security clearance)
Accenture —Melbourne VIC
- Full-time
- CRM software
- Analysis skills
- Agile
- On-the-job training
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program

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Forward Deployed Engineer III, Conversational AI

Google -
Melbourne VIC

Apply Now

Job Details

Full-time
1 day ago

Qualifications

Microsoft Excel
Law
Doctoral degree
Computer Science
MCP
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Natural language processing
Software development
APIs
Security
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: Melbourne VIC, Australia; Sydney NSW, Australia.

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 taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience managing technical discovery sessions.

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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Experience in developing Conversational AI technologies (e.g., chatbots, virtual agents, etc) and Natural Language Processing (NLP).
Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Forward Deployed Engineer (FDE) in Conversational AI, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. 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, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
Build 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 the 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

solution architect power platform jobs in melbourne, vic

Forward Deployed Engineer III, Conversational AI

Staff Software Engineer – eCommerce Payments

Senior Engineer - Salesforce

Integration Engineer - Cloud iPaaS Full Stack

Senior AI Engineer, Data Science

Customer Solutions Manager, ANZ

Cloud Consultant

Senior System Development Engineer, Core Networking (Relocation support available)

Lakebase Specialist Sales

Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

Microsoft Dynamics 365 Business Central Lead Functional/ Technical Consultant

Salesforce Business Analyst

Senior Salesforce Consultant

Google Data Engineer - GCP

Pr. Delivery Consultant, AWS Professional Services

Delivery Consultant: Full Stack Engineer, AWS Professional Services

Delivery Consultant, AWS Professional Services

Sr. Amazon Quick Strategist, Amazon Quick Customer Success Team, AWS

Workday Financials Procure to Pay Lead (AU Citizen for security clearance)

Sr Security Engineer, Region Services

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