Innovative Defense Technologies (IDT) is seeking an AI Solutions Engineer to identify, prototype, and guide the adoption of AI-enabled solutions within multiple internal organizations to enhance productivity, decision-making, and innovation for the Department of Defense.
Requirements
- Demonstrated knowledge of AI/ML concepts, algorithms, and practical applications.
- Proficiency in at least one programming language commonly used in AI development (e.g., Python, R, Java).
- Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Experience working with APIs, automation scripts, or custom tool integration to operationalize AI solutions.
- Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments.
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
Responsibilities
- Identify opportunities to leverage AI/ML technologies across diverse internal organizations
- Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs
- Collaborate with internal stakeholders to design, develop, and implement AI-based solutions
- Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements
- Develop and maintain proof-of-concepts and production-ready solutions for internal use
- Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth
- Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments
Other
- All applicants must currently possess an active U.S. Security Clearance.
- Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently.
- Experience collaborating with diverse business units to translate operational needs into technical AI solutions.
- Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
- Ability to research, evaluate, and recommend emerging AI tools, frameworks, and practices.
