Embedded GenAI Engineer — Deploy Enterprise AI

Google Inc.; Austin, New York (TX, NY); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

Paid Time Off: 20 days/year

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer who will bridge frontier AI products with production-grade reality inside customer environments. You will embed as an innovator-builder, coding and shipping bespoke agentic solutions directly within client ecosystems.

The role demands high initiative, solving integration, data readiness, and state-management challenges to reach enterprise-grade maturity, while partnering with Go-To-Market teams to drive AI adoption worldwide.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.
• Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
• Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field 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.

Skills

Python

AI systems

Cloud platforms

Production deployment

Discovery sessions

Data pipelines

Vector databases

RAG architectures

Multi-agent systems

LLM metrics

Education

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience

Master’s or PhD in AI, Computer Science, or related technical field

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud is seeking a GenAI Forward Deployed Engineer who will bridge frontier AI products with production-grade reality inside customer environments. You will embed as an innovator-builder, coding and shipping bespoke agentic solutions directly within client ecosystems.

The role demands high initiative, solving integration, data readiness, and state-management challenges to reach enterprise-grade maturity, while partnering with Go-To-Market teams to drive AI adoption worldwide.