Reducing risks to protect what matters most - cherished moments, family memories, and priceless legacies.

Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

167 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAWSAzureCloudDockerGoogle Cloud PlatformGraph QLKubernetesOraclePythonPy TorchScikit LearnSQLTensorflow

Job Description

• 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.

Job 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!
Mentorship from the top minds in the industry
A team committed to charity and community involvement
WFH Flexible
Remote
Comprehensive benefits tailored to your lifestyle