Artificial Intelligence Engineer

Ai Futures; Nordrhein-Westfalen; Hybrid; EUR 95,000 - 115,000; Full time

Job summary

Ai Futures is seeking a Senior AI Engineer for a major European insurance group in NRW. The role is hybrid, balancing on-site collaboration with agile remote work, and targets production-grade ML systems.

You’ll design and deploy AI/ML solutions for pricing, fraud detection, claims automation, and customer services, collaborating with actuaries, underwriters, data scientists, and product teams to ensure models are designed, tested, and shipped reliably with governance in place.

Qualifications

• Shipped models live in production, not just notebooks.
• Experience with Generative AI and LLMs: prompt engineering, RAG, document processing, and agentic workflows.
• Strong Python and ML engineering fundamentals: training, evaluation, deployment, and monitoring.
• Cloud experience: AWS, Azure, or GCP; familiarity with managed ML services.
• Solid software engineering: APIs, CI/CD, testing, and observability.
• Ability to work with actuaries and underwriters.
• Direct experience in insurance or financial services.
• Familiarity with insurance data types.
• Understanding AI regulatory requirements in financial services.
• Knowledge of actuarial concepts or willingness to learn quickly.

Responsibilities

• Design, build, and deploy ML/AI models for insurance applications.
• Develop production-grade LLM/RAG pipelines for underwriting and claims.
• Build ML pipelines for data ingestion, feature engineering, training, evaluation, deployment.
• Integrate AI solutions with policy, claims, CRM, and document systems.
• Implement monitoring, observability, and governance for production models.
• Collaborate with actuarial and underwriting teams to translate requirements.
• Contribute to engineering standards and reusable AI patterns.

Skills

Production ML

Generative AI

Python

Cloud platforms

CI/CD

Stakeholder collaboration

Insurance domain knowledge

Tools

SageMaker

Vertex AI

Azure ML

Job description

Senior AI Engineer - Insurance | NRW (Hybrid) | €95-115k | Permanent | C1 German

AI Futures has been engaged to find a Senior AI Engineer for one of Europe’s leading insurance organisations - a company with the scale, data, and commercial mandate to build AI that genuinely changes how insurance is underwritten, serviced, and delivered.

The company

A major European insurance group operating across life, health, property, and commercial lines at scale. The AI function here is not a skunkworks experiment - it sits close to the core business, with real data, real stakeholders, and the expectation that the models it ships reach production and stay there. The company is investing heavily in moving from AI pilots to AI infrastructure, and this hire is part of that shift.

The role

You will build and deploy AI and ML systems that improve how the business prices risk, detects fraud, automates claims, and serves customers - working across the full engineering lifecycle from prototyping through to production. You will collaborate with actuaries, underwriters, data scientists, and product teams, and your job is to make sure that what gets designed actually gets shipped reliably.

What you’ll do

• Design, build, and deploy ML and AI models for insurance-specific applications - risk scoring, fraud detection, claims automation, churn prediction, customer segmentation, and pricing optimisation
• Develop and productionise LLM and Generative AI applications including RAG pipelines, document intelligence, and agentic workflows for underwriting and claims processes
• Build and maintain robust ML pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment
• Integrate AI solutions with core insurance systems - policy administration, claims management, CRM, and document management platforms
• Implement monitoring, observability, and model governance frameworks to ensure reliability, fairness, and regulatory compliance in production
• Collaborate with actuarial and underwriting teams to translate domain expertise into model requirements and evaluation criteria
• Contribute to engineering standards and reusable patterns that accelerate the broader AI programme

What you’ll bring

• Production ML or AI engineering experience - you have shipped models that are running live, not just in notebooks
• Hands-on experience with Generative AI and LLMs: prompt engineering, RAG, document processing, and multi-step agentic workflow development
• Strong Python and ML engineering fundamentals: model training, evaluation, deployment and monitoring at scale
• Cloud platform experience - AWS, Azure, or GCP; familiarity with managed ML services (SageMaker, Vertex AI, Azure ML) is an advantage
• Solid software engineering practice: APIs, CI/CD, testing, and observability
• Comfort working across technical and non-technical stakeholders - actuaries and underwriters included
• Direct experience in insurance, financial services, or a similarly regulated industry - risk modelling, fraud detection, claims processing, or actuarial-­adjacent ML
• Familiarity with insurance data: policy and claims structures, telematics, medical or health data, or financial risk datasets
• Experience with regulatory and compliance requirements for AI in financial services - model explainability, fairness, and audit trails
• Knowledge of actuarial concepts or willingness to develop it quickly

Hybrid - NRW

C1 German