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About the Role
As a Forward Deployed Engineer (FDE) at Google Cloud, you will bridge the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," coding, debugging, and jointly shipping bespoke AI and agentic solutions directly in the customer’s environment. Designed for high-agency engineers with a founder’s mindset, you will manage critical production blockers and embed with strategic accounts to provide white-glove deployment of complex AI systems and act as a feedback loop to inform Google Cloud’s future product roadmap. Within Generative Media (GenMedia), you will focus on embedding Google's frontier multimodal models (video, image, audio) into production reality across leading enterprises, platforms, and creative organizations. 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 and will be provided with Google's advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform. We offer a collaborative culture with direct access to DeepMind's engineering and research minds.
Responsibilities
- Develop complex AI applications, transitioning from prototypes to production-grade agentic workflows.
- Architect the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data, and security perimeters.
- Build production-grade integrations, developer SDKs, and custom middleware that wire Google’s AI media models directly into industry-standard creative suites and secure studio environments.
- Identify repeatable 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.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience building and shipping production-grade AI-driven or software solutions to external or internal customers using Python, C++, TypeScript, or comparable languages.
- Experience leading technical discovery sessions with executive stakeholders and engineering teams to define AI, media, and hardware infrastructure requirements.
- Experience architecting and building scalable solutions with generative media models and embedding them into cloud platforms, production workflows, creative software suites, or pipelines.
- Experience architecting AI solutions that ensure data sovereignty, GDPR compliance, and secure model governance/studio standards.
Skills
- Python
- C++
- TypeScript
- Generative media models
- Cloud platforms
- Production workflows
- Creative software suites
- AI solutions
- Data sovereignty
- GDPR compliance
- Model governance
- Diffusion models
- Autoregressive LLMs
- Transformer architecture
- Model fine-tuning (video, image, or audio)
- High-throughput inference
- Flow matching
- Diffusion transformers
- Visual effects (VFX)
- Gaming
- Ad-tech
- Synthetic data generation
- Interactive apps
- High-fidelity asset creation
Experience Level
- 8 years of experience
Education Level
- Bachelor’s degree in Engineering, Computer Science, or a related field
- Master’s or PhD in Computer Science, AI/ML, or Computer Graphics
Salary/Compensations
- $207000 - $300000 (USD) + 20% bonus target + equity
Benefits
- 20% bonus target
- Equity
- Benefits
About the Company
- Google Cloud is a leader in the AI revolution for businesses worldwide, leveraging Google's brand credibility and a legacy built on inventing foundational technologies and proven at scale.
- We offer the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
- We foster a collaborative culture providing direct access to DeepMind's engineering and research minds.