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Finance of America

engineering opportunity

AI Engineer II

The AI Engineer II is responsible for designing, developing, and deploying AI-powered solutions to enhance business efficiency and decision-making. They will collaborate with cross-functional teams to integrate machine learning models into scalable software applications.

United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Finance of America?

About Us

Finance of America helps homeowners 55+ access the equity they’ve built while

staying in full control of their home and their financial future. Through a

range of reverse mortgage solutions, we help customers shape the retirement

they’ve earned while continuing to evolve how we serve and work together.

Joining Finance of America now means stepping into a period of momentum and

growth, with teams actively shaping what comes next and opportunities to make an

impact and grow your career.

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

[http://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

  • – 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.

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.

Compensation

The base salary range for this position is ($130,000 - $150,000 ) 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 9/21/2026.

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.

Which skills does this role require?

Machine learningDeep learningPythonTensorFlowPyTorchScikit-LearnAWS SageMakerAzure AIGoogle Vertex AIMLOpsNatural language processingComputer visionData pipelinesAPI integrationModel deploymentData cleaningAI EngineerMachine LearningDeep LearningNatural Language ProcessingComputer VisionData PipelinesAPI IntegrationModel DeploymentData CleaningFeature ExtractionHyperparameter TuningContainerizationCloud InfrastructureArtificial IntelligenceData ScienceAutomationPredictive ModelingSoftware EngineeringAlgorithmsInformation SystemsComputer ScienceAWSAzure

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