Staff Forward Deployed Engineer, GenAI, Google Cloud

Google Inc.; Warszawa; On-site; PLN 300,000 - 400,000; Full time

Job summary

Google Inc. is looking for a GenAI Forward Deployed Engineer in Warsaw, Poland. In this role, you will bridge the gap between advanced AI products and production environments. Your responsibilities include managing blockers to production and embedding with accounts for seamless deployment.

Ideal candidates possess a Bachelor's degree in Engineering or Computer Science, extensive experience in AI-driven solutions, and proficiency in Python or Typescript. Join us to drive customer success and lead the AI revolution in a collaborative culture.

Qualifications

• 8 years of experience building AI-driven solutions.
• Experience in leading technical sessions with stakeholders.
• Experience building pipelines for data with vector databases.

Responsibilities

• Lead developer for AI applications transitioning to production.
• Architect and code frameworks connecting Google’s AI and customer infrastructure.
• Build high-performance evaluation pipelines and observability frameworks.

Skills

Python

Typescript

AI systems on cloud platforms

Multi-agent systems

Data pipelines

Education

Bachelor’s degree in Engineering or Computer Science

Master’s degree or PhD in AI or related field

Tools

Google Cloud Platform (GCP)

LangGraph

Google’s Agent Development Kit (ADK)

Job description

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Wrocław, Poland; Warsaw, Poland; Kraków, Poland.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience building and shipping production‑grade AI‑driven solutions to external or internal customers using Python, Typescript or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval‑augmented generation (RAG)-like architectures to power enterprise‑grade AI solutions.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi‑agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self‑reflection, and hierarchical delegation.
• Knowledge of large language model native metrics (tokens/sec, cost‑per‑request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production‑grade reality for our customers. You will 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.

In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state‑management issues that prevent AI from reaching enterprise‑grade maturity. By embedding with accounts, you will serve a dual purpose: providing white‑glove deployment of AI systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go‑To‑Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, model context protocol 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.
• 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 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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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