Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud
Addison, TX, USA; Austin, TX, USA; New York, NY, USA — Google
• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 6 years of experience in Python and relevant machine learning packages (e.g., Keras, HF Transformers).
• Experience in applied AI, focusing on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools).
• Experience architecting, deploying, or managing solutions on a cloud platform.
Preferred qualifications
• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience delivering AI solutions specifically for telecommunications use cases, such as network optimization, churn prediction, or customer experience enhancement.
• Experience implementing multi‑agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self‑reflection, and hierarchical delegation.
• Knowledge of "LLM‑native" metrics (e.g., tokens/sec, cost‑per‑request) and techniques for optimizing state management and granular tracing.
• Ability to implement secure agentic workflows incorporating MCP, tool‑calling, and OAuth‑based authentication.
About the job
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 a "builder‑consultant," moving beyond high‑level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
You will manage blockers to production by solving 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.
Your primary responsibility will be to construct rapid prototypes of Generative AI applications tailored to Google Cloud customers, ranging from early‑stage startups to prominent, established companies.
You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem‑solving. This often requires you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer’s unique operational context.
You will collaborate closely with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will disseminate lessons learned to customers and internal Google teams, translating one‑off customer solutions into reusable, scalable assets.
The US base salary range for this full‑time position is $153,000-$222,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
• Serve as the lead 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 and the customer’s live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high‑performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
• Drive engineering excellence by mentoring talent, co‑building with customer teams, and influencing cross‑functional strategies to uplevel organizational technical capabilities.
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.
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.