---
title: Forward Deployed Engineer, GenAI, Go Market Technology
description: Google is hiring for the Forward Deployed Engineer, GenAI, Go Market Technology
  Insights role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/forward-deployed-engineer-genai-go-market-technology-insights-at-google-01a1d444-0357-7d40-8489-9483dfc27667
date: 2026-11-13T10:15:17Z
og_description: Join Google as Forward Deployed Engineer, GenAI, Go Market Technology Insights
  in San Bruno, CA. Pays $128K–$184K per year.
og_image: https://www.foundrole.com/og/egdoih.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | New York, NY |
| **Salary** | $128K/yr - $184K/yr |
| **Posted** | Nov 13, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $155,000 – $190,000 a year (median $187,000).

## Description

It's an exciting time to join the AI Accelerator team, a newly formed task force dedicated to driving AI transformation for YouTube Business Go-To-Market (GTM) operations. Our mission is to operate as a high-velocity, horizontal transformation engine at the intersection of consulting, product strategy, applied AI, and systems engineering—redesigning legacy workflows from scratch to drive direct business impact for YouTube.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.  

US: $128000 - $184000 (USD) + 15% bonus target + equity + benefits  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.
- Iterate GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) into production-grade AI applications (multi-agent systems, MCP servers) that drive measurable ROI.
- Execute the full software development lifecycle: author technical design documents, ship maintainable code, build intuitive frontend surfaces, and manage deployment.
- Build high-performance evaluation (eval) pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.
- Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case managing, and state-management issues.

### Minimum qualifications:

- Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.
- 4 years of experience in full-stack software development and system design.
- Experience with front end languages (e.g., JavaScript or TypeScript).
- Experience with backend languages (e.g., Java, Python, or C++).
- Experience working with database technologies (e.g., SQL, NoSQL).
- Experience with full-stack development, API design, and systems engineering.

### Preferred qualifications:

- 4 years of experience with cloud/microservice architectures, building LLM applications, multi-agent systems, or GenAI frameworks (e.g., MCP).
- 4 years of experience optimizing databases, alongside vector databases, embedding generation, search architectures, and AI data-readiness issues.
- 2 years of experience collaborating on requirements, bringing domain knowledge of GTM operations, enterprise sales workflows, or CRM/CMS integrations.
- 2 years of experience in SRE, InfoSec, or DevOps, plus background in LLM evals, observability frameworks, and AI guardrails.
- Experience in tech consulting or entrepreneurial environments, delivering zero-to-one initiatives and building scalable products from the ground up.

- Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.
- 4 years of experience in full-stack software development and system design.
- Experience with front end languages (e.g., JavaScript or TypeScript).
- Experience with backend languages (e.g., Java, Python, or C++).
- Experience working with database technologies (e.g., SQL, NoSQL).
- Experience with full-stack development, API design, and systems engineering.
## Skills

- Multi-Agent Systems
- Cloud Computing
- Cyber Security
- DevOps
- Quantitative Analysis
- NoSQL
- Performance Evaluation
- Full Stack Development
- Systems Design
- Systems Engineering
- Software Deployment
- Python
- Database Management
- Agentic Systems
- Observability
- Enterprise Sales
- Artificial Intelligence
- SQL
- Customer Relationship Management
- Software Development
- Google Tag Manager
- Software Development Life Cycle
- Technical Consulting
- Generative AI
- LLM Evals
- C++
- Model Context Protocol (Mcp)
- Content Management System (Cms)
- Front End (Software Engineering)
- Large Language Models (Llm)
- Vector Database
- TypeScript
- JavaScript
- API Design
- Computer Science
- Electrical Engineering
- AI Guardrails
- Databases
- Java
- Site Reliability Engineering (Sre)

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