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# AI Engineer

- **Company:** Red Alpha
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Cloud Computing, Data Files, Machine Learning, Software Architecture, Rapid Application Development, Software Engineering, Strategies of Testing, Cloud Platform System, Information Technology, Production Code, Data Analytics, Machine Learning Operations
- **Published:** August 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-annapolis-junction-md--733d3f6a-690a-4aea-bfc1-c282699a1ad8

## About the Role

Amazon Web Services (AWS), Artificial Intelligence (AI), Baseball, Cloud Computing, Communication Skills, Computer Science, Computer Systems, Continuous Improvement, Cross-Functional, Data Analysis, Data Modeling, Data Quality, Data Science, Data Sets, Human Intelligence (HUMINT), Identify Issues, Machine Learning, Machining Operations, Problem Solving Skills, Prototyping, Rapid Application Development (RAD), Sales Closing Skills, Software Architecture, Software Design, Software Development, Software Engineering, Systems Engineering, Systems Maintenance, Test Strategy, Validation Testing

## Description

We're looking for an AI Engineer to work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
What you bring to the table:

 * 10 + years of relevant experience with AI, Data Science and Development
 * A Bachelor of Science degree in Computer Science or a related field from an accredited institution. Four (4) addn'l years of relevant experience may be considered in lieu of a degree
 * Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
 * Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
 * Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
 * Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
 * Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
 * Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.


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