Artificial Intelligence Engineer

Prosperity Life; United States; Hybrid; USD 120,000 - 135,000; Full time

Benefits offered by this job

Remote/hybrid work arrangement

Base compensation $120K-$135K

Comprehensive medical, dental, and vis

HSA and 401(k) company match

Job summary

Prosperity Life is hiring an Artificial Intelligence Engineer to design, develop, and deploy AI-driven solutions for life insurance and annuity operations. You will build models, predictive analytics, and automation tools that enhance efficiency, customer experiences, and decision-making across product lines.

You will collaborate with Product, Retail, Operations, Finance, and Technology to translate business opportunities into scalable AI solutions.

Qualifications

• Bachelor's degree in CS/DS/Engineering/Maths
• 1-5 years AI/ML/Data science experience
• Experience with Python, SQL and ML frameworks
• Strong analytical and problem-solving capabilities
• Ability to communicate technical concepts clearly
• Experience collaborating in cross-functional environments
• Knowledge of life insurance/annuities a plus
• Experience with NLP and generative AI is desirable
• Cloud exposure to AWS/Azure/GCP is beneficial
• Familiarity with Git, MLOps or workflow automation tools
• Experience with Pandas, Scikit-Learn, TensorFlow or PyTorch
• Experience with Databricks/Snowflake or modern data platforms
• Knowledge of responsible AI and governance frameworks

Responsibilities

• Design, develop and deploy ML models for business decisions and ops efficiency
• Build predictive analytics, recommender systems, classifiers and AI solutions
• Improve model performance, reliability and impact
• Develop generative AI, NLP and conversational AI capabilities
• Identify opportunities to automate workflows and enhance experiences
• Evaluate emerging AI technologies for practical use
• Prepare, clean and analyze structured/unstructured data
• Develop features and analytical approaches to boost model performance
• Use insights to support business objectives and strategic initiatives
• Monitor model performance, explainability and drift
• Support governance and responsible AI practices
• Collaborate with stakeholders to translate requirements into solutions
• Communicate technical findings to technical and non-technical audiences

Skills

Analytical thinking

Communication skills

Cross-functional collaboration

Problem solving

Adaptability

Education

Bachelor's degree in Computer Science / Data Science / Engineering / Mathematics

Tools

Python

SQL

ML frameworks

AWS

Azure

GCP

Git

MLOps

Pandas

Scikit-Learn

TensorFlow

PyTorch

Job description

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 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

Required

What You’ll Bring:

• 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.