Lead AI and Data Science Engineer II (Secret Clearance Required)
- Design, develop, and deploy artificial intelligence and automation capabilities that support digital case intake, records processing, and case review workflows
- Build and enhance solutions such as intelligent triage, document classification, duplicate case detection, electronic signature workflows, and automated data validation
- Develop production-ready pipelines, models, and application components using Python and cloud-based services to support secure, scalable delivery
- Deliver AI capabilities such as optical character recognition, computer vision, case summarization, workflow automation, and content generation for adjudication support
- Mentor junior developers and engineers, contribute to solution design, and help monitor model performance, quality, and accuracy across deployed capabilities
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 5+ years of experience in data engineering or artificial intelligence development
- 5+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
- Experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
- Must be a U.S. citizen and able to obtain and maintain a Secret level security clearance
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Advanced degree in Computer Science, Information Systems, Engineering, or a related field
- Experience with Google Cloud Platform artificial intelligence and machine learning services and cloud security protocols
- Experience with natural language processing, computer vision, or optical character recognition solutions
- Experience with Python data engineering and libraries such as NumPy, Pandas, PyTorch, scikit-learn, or TensorFlow
- Experience developing automation capabilities for document processing, case summarization, workflow orchestration, or content generation
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