Senior AI Engineer

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Vault Insurance

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201 - 500 Mitarbeiter

💰 Private Equity Round im 2021-03

Vault bietet hochdotierte Personenversicherungen und maßgeschneiderte Lösungen für Einzelpersonen und Familien an. Wir versichern nicht nur Vermögenswerte, sondern reduzieren Risiken mit datengetriebener Technologie, um das zu schützen, was am wichtigsten ist – kostbare Momente, Familienerinnerungen und unschätzbare Vermächtnisse.

Beschreibung

• Design, develop, and deploy AI/ML models for enterprise-grade applications. • Build end-to-end ML pipelines including training, evaluation, optimization, deployment, and monitoring. • Architect and develop agentic AI systems including multi-agent workflows, RAG chatbots, and intelligent automation. • Build RAG (Retrieval-Augmented Generation) applications tailored to insurance workflows. • Develop multi-agent orchestration systems for complex P&C processes. • Drive company-wide AI adoption by identifying high-impact use cases across P&C insurance functions. • Conduct experimentation and research with state-of-the-art AI techniques and frameworks. • Establish AI development standards, best practices, and governance frameworks. • Collaborate with our Python-strong data engineering team on backend integrations.

🎯 Anforderungen

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (PhD preferred). • 5+ years of professional experience in AI/ML engineering, with a proven track record of building and deploying production-grade AI systems. • Expertise in Python with proficiency in leading AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and Scikit-learn. • Hands-on experience with MLOps platforms, including Kubeflow, MLflow, and Azure Machine Learning (Vertex AI/SageMaker acceptable). • Strong applied experience with LLMs (Large Language Models), RAG (Retrieval-Augmented Generation) techniques, and vector databases (e.g., Pinecone, Weaviate, FAISS). • Practical experience with agent frameworks, workflow orchestration, and multi-agent systems. • Proficiency in full-stack development, including web frameworks, backend systems, API development (REST, GraphQL), and deployment on cloud infrastructure (Azure strongly preferred; AWS/GCP acceptable). • Solid knowledge of containerization and orchestration tools such as Docker and Kubernetes. • Familiarity with AI security, compliance, and governance standards, particularly for regulated industries. • Hands-on experience with multiple database platforms, including SQL Server, Oracle, and Snowflake. • Ability to thrive in ambiguity, demonstrating strong ownership, adaptability, and problem-solving in fast-paced, high-trust environments. • Domain knowledge in Property & Casualty (P&C) insurance or experience addressing business problems in regulated industries is a strong plus.

🏖️ Vorteile

• Flexible Spending Accounts & Health Savings Accounts, with company contributions • Company paid comprehensive life & disability insurance plans • 24/7 Telehealth Doctor Access, Virtual wellness screenings, Employee Assistance Programs • Company 401k retirement plan with Day 1 eligibility (6% company match, 100% immediate vesting) • 23 PTO days/year • 11 Paid Holidays……and so much more!