Senior Forward Deployed Engineer, GenAI, Google Cloud

Google LLC

Warszawa

On-site

PLN 364,000 - 373,000

Full time

34 hours ago
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Benefits offered by this job

Bonus target 15%
Equity
Benefits

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade deployments within customer environments. You will code, debug, and ship bespoke agentic solutions directly inside client systems.

You will manage production blockers, data readiness, and state-management challenges, embedding with accounts to provide white-glove AI deployment and feedback into Google Cloud’s roadmap.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience building and shipping production-grade AI-driven solutions 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).
  • Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.

Responsibilities

  • Serve as lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers).
  • 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 accuracy, safety, and latency requirements.
  • Identify repeatable field patterns and friction points in Google’s AI stack, turning them into reusable modules or product feature requests for Engineering teams.
  • Mentor talent, co-build with customer teams, and influence cross-functional strategies to elevate technical capabilities.

Skills

Python
TypeScript
Cloud design
GCP
Vector databases
RAG architectures

Education

Bachelor's degree in Engineering/CS or related field
Master’s degree or PhD in AI/CS

Tools

LangGraph
CrewAI
ADK

Job description

corporate_fare Google place Warsaw, Poland

X In most instances, this position requires in-person interviews as part of the hiring process.

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

  • 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 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 up‑level 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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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