Partner Forward Deployed Engineer, Strategic Partners, Google Cloud

Google LLC

Sydney, Melbourne

Sur place

AUD 180 000 - 230 000

Plein temps

Il y a 5 jours
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Résumé du poste

Google LLC in Australia is seeking a Generative AI Forward Deployed Engineer (GenAI FDE) for strategic partners to bridge frontier AI products with production-grade deployments inside customer environments.

You will code, debug, and ship bespoke agentic solutions, lead technical discovery with customers, and collaborate with partner teams to scale ROI. The role offers exposure to Gemini models and Vertex AI in a global cloud setting.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, or related field.
  • 8+ years of software development with Python or similar languages.
  • Experience architecting AI systems on cloud platforms (GCP).
  • Experience building data pipelines with vector databases and RAG-like architectures.
  • Experience delivering production AI solutions from concept to production.
  • Experience leading technical discovery sessions with customers.

Responsabilités

  • Lead strategic AI partner projects to transition rapid prototypes to production-grade workflows.
  • Co-build with partner FDE teams to apply Google-grade development practices.
  • Help partners develop their own agentic delivery capabilities for long-term success.
  • Build evaluation pipelines and observability for accuracy, safety, latency.
  • Identify reusable patterns and contribute feature requests to Engineering.

Connaissances

Python
AI/cloud architecture
Vector databases
RAG architectures
AI deployment
Customer engagement
Multi-agent systems
LLM metrics
Technical leadership

Formation

Bachelor's degree in Engineering/CS or related
Master’s or PhD in AI/CS

Description du poste

Partner Forward Deployed Engineer, Strategic Partners, Google Cloud

Share Partner Forward Deployed Engineer, Strategic Partners, Google Cloud

corporate_fare Google place Sydney NSW, Australia ; Melbourne VIC, Australia

X 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.
In most instances, this position requires in-person interviews as part of the hiring process
Candidates are required to be proficient coding in Python without IDE/AI assistance as a part of the interview process. In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience 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 taking production-grade AI-driven solutions from conception to launch for customers.
  • Experience leading technical discovery sessions with customers.
Preferred qualifications:
  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • 10 years of experience with software development using Python or similar coding languages.
  • Experience in customer facing role, engaging with, and presenting to, technical stakeholders and executive leaders.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, 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 (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and 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 strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.
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 team lead and developer within the strategic AI partner for AI applications, working with partner’s teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
  • Co-build with a strategic AI partner’s own FDE teams to instill Google-grade development best practices, ensuring project success and high end-user adoption.
  • Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.
  • Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
  • Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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