Controller (m/w/d)

Delphi HR-Consulting GmbH; Neumünster; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

GGW Group bietet eine führende Rolle im deutschen Versicherungsumfeld, mit der Möglichkeit, KI-Lösungen an der Schnittstelle von Business und Technik zu gestalten. Sie arbeiten direkt an strategischen KI-Projekten in einem dynamischen Umfeld und übernehmen Verantwortung für Architektur, Umsetzung und Produktion.

Sie arbeiten selbstständig an end-to-end-Lösungen, entwickeln Produktions-Ready-AI-Systeme und arbeiten eng mit Geschäftsbereichen zusammen, um signifikante Werte zu schaffen.

Qualifikationen

• Abgeschlossenes Studium in Informatik, Data Science, Mathematik oder vergleichbare Praxis.
• Fundierte Erfahrung in der Realisierung von AI/ML-Systemen in Produktionsumgebungen.
• Umfassende Kenntnisse in LLMs, Prompt-Engineering, Fine-Tuning, Evaluation, RAG und agentischen Systemen.
• Schnelle Gewöhnungsfähigkeit an neue Domänen und Projekte bei Unsicherheit.
• Unternehmerische Denkweise und gute Kommunikation auf Managementebene.
• Exzellente Englischkenntnisse, gutes Deutsch von Vorteil.

Aufgaben

• Eigenständige Umsetzung von KI-Projekten von der Problemdefinition über Architektur bis zum Production-Deployment.
• Entwicklung produktionsreifer KI-Systeme, inklusive LLM-basierter Workflows, RAG‑Systeme, agentische Pipelines und domänenspezifische Modelle.
• Arbeit direkt mit Fachbereichen wie Vertrieb, Claims, Underwriting und Finanzen sowie den Geschäftsführungen der Tochtergesellschaften.
• Technische Schnittstelle zu internen Stakeholdern: Geschäftsprobleme in funktionierende Lösungen übersetzen und technische Lösungen geschäftlich erklären.
• Aktiver Beitrag zur KI‑Strategie durch Aufbau einer internen KI‑Kultur und Wissensbasis.
• Profil: Entrepreneurial mindset, starke Kommunikationsfähigkeiten auf Managementebene.

Kenntnisse

AI-Sy stems

LLM

RAG

Agentic AI

Prompt engineering

Ausbildung

Degree in computer science, data science, mathematics

Jobbeschreibung

Unser Mandant, mit Sitz in Neumünster, ist einer der führenden Anbieter attraktiver, modischer Produkte.Ein Hidden Champion, dessen Produkte über führende Filialisten direkt vertrieben werden.Ein s...

Stellenbeschreibung

Salary: 80.000 - 110.000 per year

Requirements

• 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.

Responsibilities

• 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

Technologies

• AI
• Fine-tuning
• LLM
• RAG
• Agentic AI

More

Who we are
GGW Group is one of Europes 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 Europes 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

last updated 35 week of 2026