
201 - 500 employees
💰 Private Equity Round on 2021-03
Vault offers high net worth personal insurance and customized solutions for individuals and families. We’re not just insuring assets, we’re reducing risks with data-driven technology to protect what matters most – cherished moments, family memories, and priceless legacies.
🕒 March 31
AWS
Azure
Cloud
Docker
Google Cloud Platform
GraphQL
Kubernetes
Oracle
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
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201 - 500 employees
💰 Private Equity Round on 2021-03
Vault offers high net worth personal insurance and customized solutions for individuals and families. We’re not just insuring assets, we’re reducing risks with data-driven technology to protect what matters most – cherished moments, family memories, and priceless legacies.
• 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.
• 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.
• 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!
Apply Now🕒 March 30
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