In-Demand Software engineer data platform workflow Jobs in Footscray, Vic

Forward Deployed Engineer III, Conversational AI
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
8d
Software Architect
Autodesk —Melbourne VIC
- Full-time
- ERP systems
- Systems design
- AWS
Sr. Application Engineer, Virtual Power Plants – Residential Energy
Tesla —Cremorne VIC
- Full-time
- Remote
- Computer science
- Engineering
- Master's degree
Lead Engineer, Engineering Productivity
Neara —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Communication skills
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan
Site Reliability Engineer
Future Secure AI —Melbourne VIC
- On call
- Azure
- DevOps
- AWS
Quick Apply
13d
Senior Full-Stack Engineer| Fintech Scale-Up
The Argyle Network —Melbourne VIC
- Full-time
- SQL
- AWS
- APIs
Network Technical Specialist for Infra
Infosys —Melbourne VIC
- $108,571 - $119,893 a year
- Rotating roster
- Azure
- Management
- Computer Science
- Health insurance
- Parental leave
3d
Security Operations Engineer
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
Quick Apply
Senior Energy Analyst - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- SQL
- Analysis skills
DevOps Engineer, Trading Technology
Binance —Melbourne VIC
- Full-time
- Remote
- AWS
- Bachelor's degree
- AI
Quick Apply
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
9d
Senior Backend Engineer, Financial Markets
Airwallex —Melbourne VIC
- Full-time
- Salesforce
- SQL
- APIs
Senior AI Deployment Strategist - Melbourne, Canberra
Mistral AI —Melbourne VIC
- Full-time
- AI
Principal Cybersecurity Incident Analyst
NTT Ltd —Melbourne VIC
- Full-time
- Hybrid work
- Management
- Customer service
- Writing skills
Security Manager, Data Centre Security
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Negotiation
- Analytics
Senior Backend Engineer
AutoGrab —South Yarra VIC
- Full-time
- Hybrid work
- AWS
- Machine learning
- Scripting
Quick Apply
Senior Corporate Security Engineer
Airwallex —Melbourne VIC
- $150,000 - $220,000 a year
- Full-time
- Computer Science
- Salesforce
- Bachelor's degree
Senior Software Engineer, Windows/Desktop Applications - Melbourne, Australia
Speechify —Melbourne VIC
- Remote
- Doctoral degree
- APIs
- AI
2d

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Forward Deployed Engineer III, Conversational AI

Google -
Docklands VIC

Apply Now

Job Details

Full-time
8 days 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: Sydney NSW, Australia; Docklands VIC, 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

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software engineer data platform workflow jobs in footscray, vic

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