AI Engineer II

About Us

At Finance of America, we help homeowners unlock the joy that comes from realizing the full potential of their retirement. Many people have significant wealth tied up in their homes and want to use it meaningfully in their next chapter. Our unique range of reverse mortgages allow homeowners 55+ to access that wealth while maintaining control over their home and financial future. With options tailored to their unique goals, we provide the financial flexibility they need to move forward with confidence.

Finance of America is guided by five values: We are customer obsessed, they are why we exist. We raise the bar. We take extreme ownership. We practice genuine collaboration. And we unleash our excellence. Together we are actualizing our vision to be the most beloved brand for homeowners in their next chapter.

To learn more about us, visit www.financeofamerica.com

Purpose of Role

Responsible for designing, developing, and deploying AI-powered solutions across the company. Focuses on building and fine-tuning AI models, creating scalable AI applications, and ensuring their seamless integration into business operations. Collaborates closely with data scientists, engineers, and business leaders to deliver AI-driven innovations that enhance efficiency, automation, and decision-making.

Expectations

• Develops, trains, and optimizes machine learning and deep learning models by leveraging state-of-the-art algorithms, hyperparameter tuning, and advanced training techniques to address complex business challenges and improve decision-making processes.
• Builds AI-driven applications and tools by integrating machine learning models, natural language processing, and computer vision into software solutions to enhance automation, personalization, and intelligent insights for users and stakeholders.
• Works with structured and unstructured data by implementing data cleaning, transformation, feature extraction, and augmentation techniques to ensure high-quality datasets that maximize model accuracy and efficiency.
• Collaborates with business teams, IT, and data scientists by gathering requirements, translating business needs into AI-driven solutions, and aligning technical implementations with organizational objectives to maximize value and impact.
• Deploys AI models into production environments by utilizing cloud-based infrastructure, containerization, and MLOps best practices to ensure models are scalable, resilient, and seamlessly integrated into business workflows.
• Continuously monitors AI models' performance by implementing tracking mechanisms, analyzing drift, and proactively retraining models to maintain accuracy and effectiveness.
• Ensures AI solutions adhere to legal, regulatory, and ethical guidelines by applying fairness-aware algorithms, explainability techniques, and bias detection methods to promote responsible AI adoption and mitigate potential risks.
• Stays updated on the latest AI trends, tools, and best practices by researching academic papers, experimenting with emerging technologies, and participating in industry conferences to drive continuous innovation and maintain a competitive edge.
• Develops technical documentation, best practices, and training materials by creating detailed guides, tutorials, and presentations to support knowledge sharing, foster AI adoption across teams, and ensure smooth onboarding of new AI solutions.
• Performs other duties as assigned.

Reports To

• Chief Data Officer

Qualifications

Qualifications – Education Requirements

• Bachelor's Degree or comparable qualifications

Qualifications – Education – Field(s)/Profession(s)

• Computer Science, Information Security, Management of Information Systems or related field preferred.

Qualifications – Experience/Skills/Competencies

• Minimum 4 years of hands-on experience developing, training, and deploying AI/ML models.
• Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.).
• Proficiency in programming languages such as Python, R, or Julia.
• Experience working with cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).
• Knowledge of MLOps, model deployment, and API integration.
• Understanding of deep learning, NLP, computer vision, and other AI subfields.
• Strong problem-solving and critical-thinking skills.
• Ability to translate business problems into AI-driven solutions.
• Excellent communication skills to explain AI concepts to non-technical stakeholders.
• Experience working with large datasets and implementing data pipelines.

Compensation

The base salary range for this position is ($100,800 - $168,000 ) inclusive of all geographical differences in the labor market. The base salary for the position will be determined based on factors such as the candidate’s work location, skills, education, and experience. In addition to those factors, we believe in the importance of pay equity and consider the internal equity of our current team members in determining any final offer. We offer a competitive benefits package including health, dental, vision, life insurance, paid time-off benefits, flexible spending account, 401(k) with employer match, and ESPP.

Additional Information

The application deadline for this job opportunity is 7/21/2025. 

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. 

Finance of America is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex (including pregnancy), sexual orientation, religion, creed, age, national origin, physical or mental disability, gender identity and/or expression, marital status, veteran status or other characteristics protected by law.