Senior Software Engineer, AI Systems Architect

Who We Are

Aptima is a technological leader in the national security industry. Our mission is to drive the future of national security by engineering scalable solutions that fuse technological innovation with human potential to transform how individuals and teams train, develop, and perform in mission-critical environments.

Our culture is rooted in our core values, which have evolved over time and our employees have embraced: Integrity, Ingenuity, Excellence, Respect, Engagement, Teamwork. At our core, Aptima researches, develops, and innovates within an area that engineering firms largely ignore, the human component. To impact the world in meaningful ways, you must bring those innovations to light, and that is precisely what we do.

Key Responsibilities

Advanced Research Engineering

Architect and develop advanced software systems that support cutting-edge AI research and experimental prototypes.

· Collaborate closely with scientists and researchers to translate novel algorithms, models, and concepts into functional prototype systems.

· Design and implement flexible research platforms that enable rapid experimentation, evaluation, and iteration.

· Contribute to the development of innovative AI-enabled capabilities across domains such as human–AI teaming, synthetic media analysis, influence modeling, and agent-based systems.

Prototype System Architecture

· Lead the design and implementation of software architectures for complex research prototypes, including APIs, data pipelines, model integration layers, and evaluation frameworks.

· Build modular and extensible systems that allow Aptima researchers and external collaborators to rapidly integrate new models, analytics, and experimental capabilities.

· Balance rapid research iteration with maintainable and well-structured engineering practices.

· Support experimentation with emerging AI approaches including agentic systems and multimodal analytics.

AI Systems Development and Deployment

· Implement and integrate machine learning and AI models within experimental systems and research testbeds to support internal evaluation and integration with external systems for large-scale evaluation experiments and demonstrations.

· Develop workflows that support model training, evaluation, experimentation, and comparative analysis.

· Develop containerized research environments using tools such as Docker to support reproducible experimentation.

· Assist in preparing prototype systems for technology demonstrations with sponsors such as DARPA, DoW laboratories, and operational partners.

Technical Leadership & Collaboration

· Provide technical leadership on R&D projects, helping shape system architectures and technical approaches, and collaborating with engineering leadership across the company.

· Work across multidisciplinary teams including AI researchers, cognitive scientists, and engineers.

· Mentor junior engineers and research staff on software architecture, engineering practices, and scalable research infrastructure.

· Participate in customer engagements, technical reviews, demonstrations, and collaborative research activities.