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AI Job Summary

Build production-grade AI applications that integrate Google's generative media models into customer infrastructure, APIs, and creative software. This role requires eight years of experience shipping AI-driven solutions using Python, C++, or TypeScript, plus expertise architecting scalable generative media systems with attention to data sovereignty and compliance. You'll partner with customer engineering teams, identify friction points in Google's AI stack, and translate them into reusable modules or product features.

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Job Description

  • 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.

Minimum qualifications:

  • 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.

Preferred qualifications:

  • Master’s or PhD in Computer Science, AI/ML, or Computer Graphics.
  • Knowledge of diffusion models and autoregressive LLMs (including the underlying Transformer architecture), training dynamics, hyperparameters, and loss functions.
  • Direct model fine-tuning (video, image, or audio), high-throughput and inference on major cloud platforms, experience with flow matching, diffusion transformers, or other advanced techniques.
  • Professional experience in visual effects (VFX), gaming, or ad-tech specialized as engineers in model, pipeline, or creative software suites, with expertise in evaluation and output quality.
  • Experience leading GenMedia creative vision, direct building synthetic data, interactive apps, and high-fidelity assets that inspire clients and creators.
  • 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.
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  • Role GenAI Forward Deployed Engineer IV, GenMedia, Google Cloud
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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