Forward Deployed AI Engineer (m/f/d) - Hybrid

Forward Deployed AI Engineer (m/f/d) - GGW Group sucht Machine-Learning Spezialisten! Gehaltsspanne 80000 - 110000 EUR pro Jahr. Verwendete Technologien:Agentic AI, LLM, AI. Anforderungen und Ihr Profil: As a Forward Deployed AI Engineer, you will work directly with our business units, gain a deep understanding of their processes, and build production-ready AI and automation solutions that will fundamentally transform the way the entire GGW Group operates. You will not hand over a specification to a development team. You are the development team. You will own the problem, the architecture, and the outcome — both technically and from a business perspective.

You will work on the most important challenges across the Group, with the freedom to make far-reaching technical and strate-gic decisions every day. One week, you may build an end-to-end claims-handling automation for one of our brokers; the next, you may develop a data-driven underwriting analysis for one of our managing general agents.

This role requires someone who is exceptionally strong technically while also thinking entrepreneurially — someone who knows when to go deep and builds solutions that genuinely work in day-to-day operations. You will work with the ownership and speed of an AI start-up founder, without having to start a company yourself.

. Ihre Verantwortlichkeiten: Your responsibilities

• Independently deliver AI projects end to end from problem definition, architecture, and development through to production operation

• Develop production-ready AI systems, including LLM-based workflows, RAG systems, agentic pipelines, automations, and domain-specific models

• Work directly with business units, such as sales operations, claims handling, underwriting, and finance, as well as the managing directors of our subsidiaries

• Serve as the technical interface for internal stakeholders: translate business problems into working solutions and ex-plain technical solutions in business terms

• Actively contribute to our AI strategy by building an internal AI culture and knowledge base

Your profile

• Degree in computer science, data science, mathematics, a comparable field, or demonstrably equivalent practical experience

• Solid experience building and deploying AI/ML systems in production environments

• Hands-on experience with LLMs, including prompt engineering, fine-tuning, evaluation, RAG, and agentic systems

• Ability to quickly familiarize yourself with new domains and develop projects in conditions of uncertainty

• Entrepreneurial mindset and strong communication skills, enabling you to work with senior internal stakeholders and build credibility at management level

• Excellent English skills, professional German is a strong plus

. Kategorie: Machine-Learning Adresse: Fischertwiete 1, Chilehaus B, Hamburg, Germany. Gehalt: 80000 - 110000 EUR pro Jahr. GGW Group - Über uns: Who we are

GGW Group is one of Europe’s leading and fastest-growing groups of insurance brokers and managing general agents, with more than 150 partner companies, 2,900 employees, and over 100 locations. Backed by two renowned private equity inves-tors, we are pursuing a clear buy-and-build strategy and are systematically building a technology- and AI-enabled insurance brokerage and managing general agent platform.

Our mission

Our mission is to build Europe’s leading technology- and AI-enabled insurance broker. To achieve this, we develop AI solutions that make our companies more productive, enable better decision-making, and deliver tangible added value to our custom-ers.

What we offer

• One of the most exciting AI roles in the German-speaking insurance market, with genuine freedom to shape the fu-ture

• The opportunity to help shape the technical evolution of our AI landscape alongside your project responsibilities from reference architectures and engineering standards to mentoring additional AI Engineers

• The chance to help build an AI-native insurance brokerage model from the ground up, with a direct impact on strat-egy and operations

• Collaboration with a highly motivated, entrepreneurial team

• Short decision-making paths, a high degree of autonomy, and a dynamic environment

• An attractive overall package and flexible working arrangements

zuletzt aktualisiert 39 Woche von 2026