[Remote] Engineer, Artificial Intelligence

Note: The job is a remote job and is open to candidates in USA. Prosperity Life is seeking an Artificial Intelligence Engineer to support the development, deployment, and optimization of AI-driven solutions for their business lines. The role involves building models and data-driven tools to enhance operations and improve customer experiences while contributing to the company's digital transformation.ResponsibilitiesApplied Machine Learning: Experience building and deploying ML models, including regression, classification, recommendation engines, or predictive analyticsNLP & Generative AI Foundations: Understanding of text analytics, large language models, and conversational AI toolsProgramming & 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 annuitiesData Analysis & Feature Engineering: Ability to clean, prepare, and analyze structured and unstructured dataModel Evaluation & Monitoring: Understanding of model accuracy, drift, explainability, and continuous improvement approachesBusiness Collaboration: Ability to translate business needs into technical solutions and communicate complex concepts clearlyProblem-Solving: Strong analytical mindset and creativity in identifying automation and AI opportunitiesAdaptability: Comfort learning new tools, working in an evolving AI landscape, and supporting emerging business demandsTool Proficiency: Experience with cloud platforms (AWS, Azure, GCP), version control (Git), and MLOps or workflow-automation tools is a plusSkillsBachelor's degree in Computer or Data Science, Engineering, Mathematics, or related field1–5 years of experience in AI, machine learning, data science, or applied analyticsExperience working with Python, SQL, and common ML frameworksUnderstanding of life insurance and annuity products—or strong willingness to learn quicklyStrong communication and collaboration skills supporting cross-functional teamsAbility to translate complex data concepts into actionable business recommendationsCuriosity, initiative, and a growth mindset—eager to explore emerging AI technologiesApplied Machine Learning: Experience building and deploying ML models, including regression, classification, recommendation engines, or predictive analyticsNLP & Generative AI Foundations: Understanding of text analytics, large language models, and conversational AI toolsProgramming & 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 annuitiesData Analysis & Feature Engineering: Ability to clean, prepare, and analyze structured and unstructured dataModel Evaluation & Monitoring: Understanding of model accuracy, drift, explainability, and continuous improvement approachesBusiness Collaboration: Ability to translate business needs into technical solutions and communicate complex concepts clearlyProblem-Solving: Strong analytical mindset and creativity in identifying automation and AI opportunitiesAdaptability: Comfort learning new tools, working in an evolving AI landscape, and supporting emerging business demandsTool Proficiency: Experience with cloud platforms (AWS, Azure, GCP), version control (Git), and MLOps or workflow-automation tools is a plusCompany OverviewProsperity Life is an insurance agency that provides a wide range of life, health, property, and casualty insurance products and services. It was founded in 1916, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https://prosperitylife.com.