AI Engineer

General Dynamics Information Technology is a global technology and professional services company focused on delivering consulting, technology, and mission services. They are seeking an AI Engineer to design, develop, and deploy AI solutions that optimize operations for the United States Postal Service, contributing to improved efficiency and data-driven decision making.

Responsibilities:

• Develop and advance AI capabilities across USPS business functions
• Build tools that automate requirements and test case generation using technologies such as Visual Studio Code, Python, Microsoft Copilot, CrewAI, and other USPS‑approved platforms
• Integrate AI solutions with existing automation frameworks to reduce manual effort and enhance quality
• Evaluate opportunities to embed AI across enterprise workflows and design solutions aligned with mission needs
• Collaborate with cross‑functional teams and communicate technical concepts to both technical and non‑technical stakeholders
• Ensure all AI solutions meet USPS security, compliance, and execution requirements
• Train designated team members to maintain and operate AI‑driven tools and scripts

Requirements:

• Agentic AI
• Artificial Intelligence (AI)
• Data Science
• Higher Mathematics
• Machine Learning (ML)
• 2 + years of related experience
• Bachelor's degree in a related field with strong mathematics OR an additional four years of relevant professional experience in lieu of a degree
• Proven experience contributing to or leading AI/automation initiatives
• Experience working in analytics, data‑driven environments, or team leadership roles is highly desirable
• Strong agentic AI experience, including familiarity with agent frameworks, orchestration tools, and automation workflows
• Experience working across the infrastructure plane to ensure AI systems operate reliably within enterprise environments
• Strong mathematical foundation in algebra, statistics, calculus, or related fields applied to AI/ML model development
• Hands‑on experience developing, training, and evaluating AI or ML models
• Experience performing optimization to improve model performance, scalability, or efficiency
• Practical experience applying machine learning methods to real‑world business or operational challenges
• Proficiency in building AI solutions using Python, Visual Studio Code, and relevant programming or scripting languages
• Strong understanding of generative AI, LLM integration, and modern AI frameworks
• Ability to develop AI‑driven tools that convert business user stories into technical requirements
• Experience integrating AI capabilities into existing enterprise automation frameworks
• Ability to deliver AI scripts and programs that run reliably on USPS‑approved environments
• Capability to document, train, and transition AI tools to operational teams
• Strong analytical and problem‑solving skills with a creative approach to complex technical challenges
• Excellent communication skills with the ability to explain sophisticated AI concepts to non‑technical stakeholders
• Demonstrated ability to work in a collaborative, cross‑functional team environment
• Familiarity with Agile methodologies, cloud platforms, or enterprise‑scale AI deployments is a plus