Auf einen Blick
- Aufgaben: Leite die Strategie für AI-Plattformen und baue ein leistungsstarkes Team auf.
- Unternehmen: Führendes Finanzdienstleistungsunternehmen mit Sitz in München.
- Vorteile: Wettbewerbsfähiges Gehalt, Leistungsboni und langfristige Anreize.
- Weitere Informationen: Hybrides Arbeitsmodell mit direkter Berichterstattung an die C-Ebene.
- Warum dieser Job: Gestalte die Zukunft der KI in einem großen europäischen Finanzinstitut.
- Qualifikationen: Mindestens 5 Jahre Erfahrung in Daten- und KI-Engineering in regulierten Umgebungen.
Das prognostizierte Gehalt liegt zwischen 75000 - 95000 € pro Jahr.
A leading financial services organisation headquartered in Munich, operating across insurance, asset management, and financial infrastructure at scale.
With a strong balance sheet, a growing appetite for technology-led transformation, and thousands of users across Europe, the business is investing heavily in AI to unlock operational efficiency, accelerate decision-making, and build a long-term data competitive advantage.
This is a newly created Director-level role sitting at the heart of that agenda: responsible for defining and delivering the AI platform strategy that will underpin the organisation's AI capabilities for the next decade.
THE ROLEThe Head of AI Platforms will own the end-to-end design, delivery, and governance of the organisation's AI platform engineering function.
Reporting directly to the Chief Technology Officer (or Chief Data Officer), this leader will build and lead a team of AI Platform and MLOps Engineers, and partner closely with Data Science, Architecture, Compliance, and Business stakeholders to ensure AI can be deployed at scale, securely, and in a regulated context.
This is a hands-on leadership role: you will set direction but also be expected to be deeply technical, credible with engineers, and comfortable operating in a complex regulated environment.
KEY RESPONSIBILITIESDefine and own the AI platform strategy: including infrastructure, tooling, deployment frameworks, and standards for how AI is built and shipped across the organisation.
Build, lead, and develop a high-performing team of AI Platform Engineers and MLOps specialists, hiring for both near-term delivery and long-term capability.
Design and implement scalable MLOps pipelines: covering model training, versioning, deployment, monitoring, and retraining: in a regulated financial services context.
Establish the organisation's AI governance and compliance framework: model risk management, explainability standards, audit trails, and alignment with Ba Fin / Solvency II requirements.
Partner with Data Science and Analytics teams to accelerate the path from model experimentation to production deployment, reducing time-to-value for AI initiatives.
Own the AI infrastructure stack: cloud-based platform architecture (Azure / AWS), feature stores, vector databases, LLM orchestration frameworks, and GPU compute provisioning.
CANDIDATE PROFILESignificant experience in data and AI engineering, with a minimum of 5 years in senior or leadership roles within a regulated financial services environment (insurance, banking, or asset management strongly preferred).
Proven track record of building and leading AI or data platform teams: hiring, developing, and retaining senior engineering talent.
Deep technical expertise in MLOps and AI infrastructure: model deployment pipelines, containerisation (Docker/Kubernetes), feature engineering at scale, and model monitoring in production.
Hands-on experience with cloud-native AI platforms: Microsoft Azure (Azure ML, Azure AI Studio, Microsoft Fabric) and/or AWS (Sage Maker) at enterprise scale.
Fluent in German and English (both written and spoken); essential for stakeholder engagement across the organisation.
Advantageous: Experience with LLM deployment, RAG architectures, and agentic AI systems in a production environment.
Familiarity with Microsoft Fabric, One Lake, and the broader Microsoft data and AI ecosystem.
Background in insurance-specific data domains: claims, underwriting, actuarial modelling, or fraud analytics.
Experience operating in a matrix organisation and influencing without direct authority across technology and business functions.
WHAT'S ON OFFERA Director-level mandate with real organisational authority and budget to build something significant.
Direct reporting line to C-suite with genuine executive visibility and influence over the AI strategy.
Competitive base salary, performance bonus, and long-term incentive package commensurate with Director level in Financial Services.
A hybrid working model with a Munich base: typically 3 days on-site.
The opportunity to define how AI is built and deployed at a major European financial institution: at a pivotal moment in the technology's maturity. #J-18808-Ljbffr
Head of AI Platforms Arbeitgeber: AI Futures
Als IoT Solutions Architect bei unserem Kunden, einem globalen Hersteller von Industrieausrüstungen, profitieren Sie von einer dynamischen und innovativen Arbeitsumgebung, die sich an der Spitze der Technologieentwicklung befindet. Das Unternehmen bietet nicht nur wettbewerbsfähige Vergütungen und umfassende Sozialleistungen, sondern fördert auch aktiv die berufliche Weiterentwicklung seiner Mitarbeiter durch Schulungen und spannende Projekte im Bereich autonomer Systeme. Hier haben Sie die Möglichkeit, an bedeutenden Projekten mit führenden Technologien wie NVIDIA zu arbeiten und Ihre Fähigkeiten in einem unterstützenden Team weiter auszubauen.
