GenAI Forward-Deployed Engineer for GTM Ops

Google; Chicago (IL); On-site; USD 155,000 - 224,000; Full time

Job summary

Google is seeking an AI Forward Deployed Engineer to join the YouTube Business GTM AI Accelerator. You will bridge frontier AI capabilities with production-grade realities, code and ship AI-powered solutions, and drive enterprise value across GTM workflows.

You will collaborate with product managers, design scalable frontends and robust backends, and ensure observability, safety, and performance in complex AI deployments. This role offers impactful work at scale.

Qualifications

• Bachelor's degree or equivalent practical experience in software development.
• 6 years of experience in full-stack software development and system design.
• Experience with front-end languages (JS/TS).
• Experience with back-end languages (Java, Python, Go or C++) and AI solutions.
• Experience with databases, distributed systems, and data pipelines.

Responsibilities

• Build and iterate on GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) to demonstrate feasibility.
• Lead delivery of complex, production-grade AI solutions from prototypes to ROI.
• Partner with Product Managers to co-create tool roadmaps for YouTube GTM operations.
• Write technical designs, code, and deploy with observable metrics and safety considerations.
• Resolve data readiness gaps and integration challenges to accelerate AI maturity.

Skills

Bachelor's degree in CS/EE/Math or eq.

Full-stack software development

Frontend (JavaScript/TypeScript)

Backend (Java/Python/Go/C++)

Data pipelines and databases

GenAI / LLMs experience

Education

Bachelor's degree in CS/EE/Math or related field

Tools

SQL/NoSQL databases

Job description

Google is seeking an AI Forward Deployed Engineer to join the YouTube Business GTM AI Accelerator. You will bridge frontier AI capabilities with production-grade realities, code and ship AI-powered solutions, and drive enterprise value across GTM workflows.

You will collaborate with product managers, design scalable frontends and robust backends, and ensure observability, safety, and performance in complex AI deployments. This role offers impactful work at scale.