Vault Insurance

Senior AI Engineer

Vault Insurance

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformGraphQLKubernetesOraclePythonPyTorchScikit-LearnSQLTensorflow

About the role

  • 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.

Requirements

  • 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.
Benefits
  • 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!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML engineeringPythonTensorFlowPyTorchHugging FaceScikit-learnMLOpsRAG techniquesfull-stack developmentAPI development
Soft Skills
problem-solvingadaptabilityownershipcollaborationcommunication
Certifications
Bachelor’s degreeMaster’s degreePhD