Gen AI Engineer

Quantum Technologies. LLC; Los Angeles (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production environments, embedding within strategic customer accounts. You will move from prototype to production, handling integration, data readiness, and state management to deliver enterprise-grade AI solutions.

As an embedded builder, you will co-create with Customer Engineering teams, ensuring best practices, measurable ROI, and successful adoption of Google’s Conversational AI suite across client

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 building pipelines for structured and unstructured data using both vector databases and RAG-like architectures.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.
• Hands-on experience implementing and customizing Google’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI).

Responsibilities

• Serve as a developer for complex AI applications, transitioning from prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer infrastructure (APIs, data silos, security).
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and convert them into reusable modules or feature requests.
• Co-build with customer engineering teams to ensure long-term project success and adoption.

Skills

Python

Cloud architecture

AI systems

Customer collaboration

Debug & productionize AI

Education

Bachelor's degree in engineering/CS

Tools

GCP

Gemini CX

CES

CCAI

Job description

As a GenAI 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. Unlike traditional advisory roles, you function as an \"innovator-builder,\" moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing \"white glove\" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Job responsibilities:

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code the \"connective tissue\" between Google’s AI products (Gemini-powered CX, Customer Engagement Suite, and Contact Center AI) 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.
• Bachelor’s degree in engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development usingPython or similar coding languages.
• Experience architecting AI systems on cloud platforms(e.g., GCP).
• Experience building pipelines for structured and unstructured data using bothvector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.
• Hands-on experience implementing and customizingGoogle’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI).

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.