GenAI Forward Deployed Engineer IV, GenMedia, Google Cloud

engineeringjobs.net, Inc.; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Retirement match

Paid vacation 20 days

Sick leave

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Cloud is seeking a Forward Deployed Engineer to bridge frontier AI products with real production environments. You will code, debug, and ship bespoke AI solutions embedded at customer sites, acting as a hands-on innovator-builder and driving white-glove deployment across strategic accounts.

In GenMedia, you will embed Google's frontier multimodal models into production workflows for enterprises, platforms, and creative studios, collaborating with DeepMind engineers to shape the next

Qualifications

• Bachelor's degree in Engineering, CS, or related field.
• 8 years building and shipping production-grade AI/ software solutions using Python, C++, or TypeScript.
• Experience leading technical discovery sessions with executive stakeholders and engineering teams.
• Experience architecting scalable AI solutions with generative media models in cloud environments.

Responsibilities

• Develop complex AI applications from prototype to production.
• Architect integration between Google's AI products and customers' live infrastructure.
• Build production-grade integrations, SDKs, and middleware for industry-standard creative suites.
• Identify friction points and convert into reusable modules or feature requests for Engineering teams.
• Co-build with customer teams to ensure long-term adoption.

Skills

Python

C++

TypeScript

AI/ML systems

Production-grade AI

Stakeholder leadership

Education

Bachelor's degree in Engineering or CS

Tools

Cloud platforms

Creative software suites

Job description

GenAI Forward Deployed Engineer IV, GenMedia, Google Cloud

Locations

• San Diego, CA, USA
• Seattle, WA, USA
• +5 more
• +4 more

Experience Level

Advanced

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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.

About the Job

As a 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 customers. Functioning as an "innovator-builder," you will move beyond high-level architecture to code, debug, and jointly ship 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-including integration complexity, data readiness, and state management. By embedding with strategic accounts, you will serve a dual purpose: providing white-glove deployment of complex AI systems and acting as a feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.

Within Generative Media (GenMedia), you will specifically 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-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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

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.

Additional Information

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Equal Employment Opportunity

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.

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Language Requirement

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.

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Equity Note

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, are subject to approval by the Alphabet Inc. board of directors or its delegate, 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.