AI Engineer (Hybrid)

Captivation Software • Annapolis Junction, MD

2h • $130,000 - $270,000 • Hybrid

About The Position

Captivation Software has an immediate need for an Artificial Intelligence (AI) Engineer to support the project. The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing project's architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.

Requirements

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
• Bachelor’s degree from an accredited college or university.
• Master’s degree can be substituted for two (2) years experience
• This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Responsibilities

• 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.

Benefits

• Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
• Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
• Above Market Hourly Rates
• $3,600 HSA Contribution
• 6 Weeks Paid Time Off
• Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level