Principal AI-Enabled Software Engineer (Top Secret)
Company: Praescient Analytics
Location: Fairfax, VA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-03-16
About this role
Location: Remote, with occasional travel as needed
Clearance: Top Secret
Employment Type: Full-Time
US Citizenship is Required
Position Overview:
Praescient Analytics is looking for a Principal AI-Enabled Software Engineer to help shape and build the next generation of AI-enabled applications, cloud solutions, and internal innovation capabilities. This is an opportunity for a senior technologist who enjoys both thinking strategically and building practically. We are seeking someone who can help architect modern solutions while also rolling up their sleeves to code, prototype, integrate APIs, automate workflows, and improve testing and delivery quality. This role is ideal for someone who thrives in a high-impact, entrepreneurial environment where good ideas move quickly and strong technical leadership matters.
What You'll Do:
In this role, you will help design, build, and modernize secure, scalable software solutions that support both client-facing initiatives and internal innovation efforts. You will bring practical experience in AWS cloud environments, AI-assisted coding, AI-assisted testing, API-first design, and modern software engineering practices to help accelerate delivery and improve engineering maturity.
You will be expected to contribute at both the architecture and implementation level. The right person will be comfortable moving between technical strategy and hands-on execution.
Key Responsibilities:
- Architect and build AI-enabled software solutions in AWS-based environments
- Actively contribute code, prototypes, integrations, and technical implementations in support of application and platform development
- Apply AI-assisted coding tools and methods to improve development speed, code quality, refactoring, and engineering productivity
- Apply AI-assisted testing approaches to strengthen automated test coverage, regression testing, API validation, and release confidence
- Design and implem...