Senior Forward Deployed Engineer, GenAI, Google Cloud

AI Chopping Block, Inc.; Warszawa; Hybrid; PLN 364,000 - 373,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer in Warszawa to bridge frontier AI products with production-grade solutions at customer sites. You will embed with accounts, code, debug, and ship bespoke agentic workflows directly within environments, removing blockers to production.

You will architect connections between Google’s AI stack and customer infrastructure, build pipelines, and mentor teams while contributing to product roadmaps.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or 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.
• Experience designing AI systems on Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data with vector databases and RAG-like architectures.

Responsibilities

• Lead development of AI applications transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety and latency.
• Identify repeatable field patterns and translate them into reusable modules or feature requests.
• Mentor talent, co-build with customer teams, and influence cross-functional strategies.

Skills

Python

TypeScript

GCP experience

AI systems

Leadership sessions

Data pipelines

Education

Bachelor’s degree in Engineering/CS

Tools

LangGraph

CrewAI

ADK

Vector databases

Job description

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.

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.

Minimum 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 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.