Engineer, Artificial Intelligence
Prosperity Life · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
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Job highlights
- Develop AI solutions for insurance business lines.
- Build ML models, NLP tools, and automation.
- Requires Python, SQL, and ML framework experience.
- Collaborate with cross-functional teams.
- Enhance operations and customer experiences.
About the role
Artificial Intelligence Engineer
The Artificial Intelligence Engineer supports the development, deployment, and optimization of AI-driven solutions that enhance Prosperity’s retail, product, life insurance, and annuity business lines. This role contributes to building models, intelligent automation, and data-driven tools that streamline operations, improve advisor and customer experiences, and support the company’s strategic digital transformation.
The ideal candidate brings hands-on experience with machine learning, natural language processing, and applied AI tools, along with an understanding of the life and annuity industry. This person is curious, analytical, and eager to grow while working cross-functionally with Product, Retail, Operations, Finance and Technology partners.
Major Duties And 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.
Job Qualifications
- 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.
Core Competencies
- Analytical thinking and problem-solving
- Technical curiosity and continuous learning
- Collaboration and communication
- Accountability and follow-through
- Innovation and applied creativity
- Adaptability in a fast-changing, complex, digital environment
Key skills/competency
- Artificial Intelligence Engineer
- Machine Learning
- Natural Language Processing
- Python
- SQL
- Data Science
- AWS
- Azure
- GCP
- Life Insurance
Skills & topics
- Artificial Intelligence Engineer
- Machine Learning
- NLP
- Generative AI
- Python
- SQL
- Data Science
- AI
- MLOps
- Life Insurance
How to get hired
- Tailor your resume: Highlight AI, ML, NLP, Python, SQL, and cloud experience.
- Showcase domain knowledge: Emphasize life and annuity industry understanding or learning eagerness.
- Demonstrate problem-solving: Use examples of translating business needs into technical AI solutions.
- Prepare for technical questions: Be ready to discuss ML models, data analysis, and AI tools.
- Research Prosperity Life: Understand their digital transformation and AI goals.
Technical preparation
Practice Python and SQL for data manipulation.,Build ML models using Scikit-Learn, TensorFlow.,Familiarize with AWS, Azure, or GCP services.,Explore NLP and Generative AI concepts.
Behavioral questions
Describe a complex problem you solved with AI.,How do you stay updated with AI advancements?,Give an example of cross-functional collaboration.,How do you adapt to changing technologies?
Frequently asked questions
- What are the key technical skills required for the Artificial Intelligence Engineer role at Prosperity Life?
- The Artificial Intelligence Engineer role at Prosperity Life requires strong proficiency in Python and SQL, along with experience in common ML frameworks like Pandas, Scikit-Learn, TensorFlow, and PyTorch. Familiarity with cloud platforms such as AWS, Azure, or GCP, and MLOps tools is also beneficial.
- Does Prosperity Life prefer candidates with experience in the life insurance industry for the AI Engineer position?
- Prosperity Life values candidates with familiarity in the life and annuity industry, including product structures and customer journeys. However, a strong willingness to learn quickly about these areas is also considered, making the role accessible to those with core AI/ML expertise.
- What kind of AI and ML projects can an Artificial Intelligence Engineer expect to work on at Prosperity Life?
- As an Artificial Intelligence Engineer at Prosperity Life, you will work on developing and deploying AI-driven solutions. This includes building machine learning models (regression, classification, recommendation engines), applying NLP and generative AI for text analytics and conversational AI, and creating intelligent automation to improve business operations and customer experiences.
- How important are collaboration and communication skills for the Artificial Intelligence Engineer role?
- Collaboration and communication skills are crucial for the Artificial Intelligence Engineer at Prosperity Life. You will work cross-functionally with Product, Retail, Operations, Finance, and Technology partners, requiring the ability to translate complex technical concepts into actionable business recommendations for diverse teams.
- What educational background is typically expected for an Artificial Intelligence Engineer at Prosperity Life?
- Prosperity Life typically seeks candidates with a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field for their Artificial Intelligence Engineer position. This foundational knowledge is complemented by practical experience in AI, machine learning, and data science.