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AI Engineer II
Finance of America. Responsible for designing, developing, and deploying AI-powered solutions across the company .
Posted 3/13/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $100,800 - $168,000 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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
- Develops, trains, and optimizes machine learning and deep learning models
- Builds AI-driven applications and tools by integrating machine learning models
- Works with structured and unstructured data to ensure high-quality datasets
- Collaborates with business teams, IT, and data scientists
- Deploys AI models into production environments
- Continuously monitors AI models' performance
- Ensures AI solutions adhere to legal, regulatory, and ethical guidelines
- Stays updated on the latest AI trends, tools, and best practices
- Develops technical documentation, best practices, and training materials.
Requirements
What you’ll need- Bachelor's Degree or comparable qualifications
- 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.
Benefits
Comp & perks- health insurance
- dental
- vision
- life insurance
- paid time-off benefits
- flexible spending account
- 401(k) with employer match
- ESPP
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningAI modelsAI applicationsdata pipelinesTensorFlowPyTorchScikit-LearnPythonR
Soft Skills
problem-solvingcritical-thinkingcommunicationcollaborationtranslating business problems
Certifications
Bachelor's Degree