AI Engineer

• Work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing architecture.
• Build solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.
• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with existing software architecture.
• Prototype new models, write production-quality code, and maintain existing AI systems.
• Serve as a key technical liaison, collaborating with cross-functional teams and articulating AI approaches to technical and non-technical stakeholders.
• Conduct Exploratory Data Analysis (EDA) on diverse datasets (structured and unstructured) to inform data models and identify data quality issues.
• Develop, train, and evaluate machine learning models; implement robust testing and validation strategies to ensure accuracy and mitigate bias.
• Stay current with AI/ML advancements and continuously improve systems by applying new technologies and methodologies.
• Use AWS cloud platform and MLOps tools for deploying and managing ML models at scale.
• Perform work under an active TS/SCI clearance with appropriate polygraph and be available for telework with commute to Maryland as required.

AI Engineer

Lead AI Engineer

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AI Platform LLMOps Engineer