Prosperity LifeRemote
Engineer, Artificial Intelligence
United States of America
Full Time
3 weeks ago
Visa Sponsor
Key skills
Machine LearningNatural Language ProcessingPythonSQLData Science LibrariesLife InsuranceAnnuity Domain KnowledgeCloud PlatformsVersion ControlAIArtificial IntelligenceMLNLPGenerative AILarge Language ModelsPyTorchTensorFlowscikit-learnPandasMLOpsAnalyticsAWSAzureGCPGitCommunicationCollaboration
About this role
Prosperity Life is a company focused on enhancing retail, product, life insurance, and annuity business lines through AI-driven solutions. The Artificial Intelligence Engineer will support the development and optimization of these solutions, working with cross-functional teams to improve operations and customer experiences.
Responsibilities:
- Applied Machine Learning: Experience building and deploying ML models, including regression, classification, recommendation engines, or predictive analytics
- NLP & Generative AI Foundations: Understanding of text analytics, large language models, and conversational AI tools
- Programming & Automation: Proficiency with Python, SQL, and common data science libraries (e.g., Pandas, Scikit-Learn, TensorFlow, PyTorch)
- Life & Annuity Domain Knowledge: Familiarity with product structures, customer journeys, and distribution processes in life insurance and annuities
- Data Analysis & Feature Engineering: Ability to clean, prepare, and analyze structured and unstructured data
- Model Evaluation & Monitoring: Understanding of model accuracy, drift, explainability, and continuous improvement approaches
- Business Collaboration: Ability to translate business needs into technical solutions and communicate complex concepts clearly
- Problem-Solving: Strong analytical mindset and creativity in identifying automation and AI opportunities
- Adaptability: Comfort learning new tools, working in an evolving AI landscape, and supporting emerging business demands
- Tool Proficiency: Experience with cloud platforms (AWS, Azure, GCP), version control (Git), and MLOps or workflow-automation tools is a plus
Requirements:
- Bachelor's degree in Computer or Data Science, Engineering, Mathematics, or related field
- 1–5 years of experience in AI, machine learning, data science, or applied analytics
- Experience working with Python, SQL, and common ML frameworks
- Understanding of life insurance and annuity products—or strong willingness to learn quickly
- Exposure to cloud environments (AWS, Azure, or GCP)
- Strong communication and collaboration skills supporting cross-functional teams
- Ability to translate complex data concepts into actionable business recommendations
- Curiosity, initiative, and a growth mindset—eager to explore emerging AI technologies
- Experience with cloud platforms (AWS, Azure, GCP), version control (Git), and MLOps or workflow-automation tools is a plus