At a Glance
- Tasks: Develop and deploy cutting-edge AI applications in a collaborative environment.
- Company: Join Google Cloud, a leader in AI innovation and technology.
- Benefits: Competitive salary, diverse culture, and access to advanced AI tools.
- Other info: Dynamic role with opportunities for growth and collaboration with top engineers.
- Why this job: Be at the forefront of the AI revolution and make a real impact.
- Qualifications: Experience in software development and fluency in French or German required.
The predicted salary is between 70000 - 90000 £ per year.
Qualifications
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience taking production‑grade AI‑driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
- Experience leading technical discovery sessions with customers.
- Ability to communicate in French or German fluently as this is a customer‑facing role that requires interactions in French or German with local stakeholders.
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, ADK) and complex patterns (e.g., ReAct, self‑reflection, hierarchical delegation).
- Experience in a post‑sales or technical consulting delivery function.
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost‑per‑request) and techniques for optimizing state management and granular tracing.
About the job
As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production‑grade reality within customers. Unlike traditional advisory roles, you will 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 issues that prevent AI from reaching enterprise‑grade maturity. By embedding with accounts, you will 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. 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 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 Return on Investment (ROI).
- Architect and code the connective tissue between Google’s AI products 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 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 pre‑sales and product teams to instill Google‑grade development best practices, ensuring long‑term project success and high end‑user adoption.
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.
Forward Deployed Engineer I, Google Cloud Consulting (French, German) employer: Google
At Google Cloud, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive meaningful change in the AI landscape. As a Forward Deployed Engineer, you will have access to cutting-edge technology and the opportunity to work alongside some of the brightest minds in the industry, all while enjoying a supportive environment that prioritises professional growth and development. With our commitment to diversity and inclusion, you'll be part of a team that values your unique contributions and encourages you to thrive in your career.