Artificial Intelligence Engineer

Posted Wednesday, August 12, 2026 at 4:00 AM About Us: We’re a fast-growing, privately held insurance company on a path to becoming a leading U.S. retail platform. We believe every client and customer relationship holds the potential to become something greater—and the same is true for our people. As we grow, we’re redefining how great talent connects with meaningful work, enabling our ambitious strategy while building a culture of high performance, creativity, and partnership. If you're curious about how artificial intelligence can transform the way life insurance and annuity companies serve customers, support advisors, and operate more efficiently, then this role offers the opportunity to build innovative solutions that deliver meaningful business impact while accelerating your growth as an AI professional. About the Role: We’re looking for an Artificial Intelligence Engineer to help design, develop, and deploy AI-driven solutions that support our life insurance, annuity, retail, and product business lines. In this role, you will contribute to building intelligent tools, machine learning models, and automation capabilities that enhance operational efficiency, improve customer and advisor experiences, and advance the organization’s digital transformation efforts. The ideal candidate combines technical AI and machine learning expertise with a strong analytical mindset and a passion for solving business challenges. You'll work closely with partners across Product, Retail, Operations, Finance, and Technology to translate business opportunities into scalable AI solutions. What You’ll Do: AI & Machine Learning Development Design, develop, and deploy machine learning models that support business decision-making and operational efficiency Build predictive analytics, recommendation engines, classification models, and other AI-driven solutions Enhance and optimize existing models to improve performance, reliability, and business impact Generative AI & Intelligent Automation Support the development and implementation of generative AI, natural language processing, and conversational AI capabilities Identify opportunities to automate workflows and enhance employee, advisor, and customer experiences Evaluate emerging AI technologies and recommend practical business applications Data Engineering & Analytics Prepare, clean, and analyze structured and unstructured datasets for machine learning applications Develop features, datasets, and analytical approaches that improve model performance Leverage data insights to support business objectives and strategic initiatives Model Governance & Performance Monitoring Monitor model performance, accuracy, explainability, and drift across deployed solutions Support the ongoing improvement and optimization of AI models through testing and validation Contribute to responsible AI practices and model governance standards Cross-Functional Collaboration Partner with business stakeholders to understand challenges and translate requirements into technical solutions Communicate technical concepts and analytical findings to both technical and non-technical audiences Support AI initiatives across Product, Retail, Operations, Finance, and Technology teams What You’ll Bring: Required Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field 1-5 years of experience in artificial intelligence, machine learning, data science, or applied analytics Experience with Python, SQL, and common machine learning frameworks Strong analytical and problem-solving capabilities Ability to communicate technical concepts clearly and effectively Experience working collaboratively in cross-functional environments Preferred Understanding of life insurance and annuity products and distribution models Experience with NLP, large language models, and generative AI technologies Exposure to cloud platforms such as AWS, Azure, or GCP Familiarity with Git, MLOps, or workflow automation tools Experience with Pandas, Scikit-Learn, TensorFlow, PyTorch, or similar technologies Databricks, Snowflake, and modern data platforms Experience with responsible AI and enterprise AI governance frameworks Core Competencies: Machine Learning & AI Application: Applies machine learning, generative AI, and data science techniques to solve business problems and deliver measurable outcomes Analytical Problem Solving: Leverages data, critical thinking, and structured analysis to identify opportunities and develop effective solutions Technical Curiosity & Continuous Learning: Demonstrates a strong desire to learn emerging technologies and adapt to the rapidly evolving AI landscape Business Collaboration & Communication: Translates business needs into technical solutions while effectively communicating complex concepts to diverse audiences Innovation & Intelligent Automation: Identifies opportunities to streamline processes and improve experiences through AI-driven innovation Adaptability & Accountability: Thrives in a dynamic environment, embraces change, and follows through on commitments with a high degree of ownership What We Offer: A collaborative, inclusive environment that values authenticity, accountability, and partnership The opportunity to join the company at an exciting stage of growth, where colleagues are empowered to build what’s next A variable compensation package with a base range of $120K-$135K A competitive benefits package including comprehensive medical, dental, and vision coverage; an HSA and 401(k) company match; paid time off; and employer-paid life and disability insurance Remote/hybrid work arrangement At Prosperity, we are committed to equal employment opportunity and encourage people from all backgrounds to apply. We make hiring decisions based on merit and do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or any other protected status. We strive for a meaningful interview experience for all candidates. If you need an adjustment or accommodation due to a disability or medical condition during the hiring process, please let your recruiter know.