Principal AI-Enabled Software Engineer (Top Secret)

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.

What You’ll Do

• 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 implement API-first architectures, including RESTful services, reusable service layers, and scalable integration patterns
• Help build reusable technical components that support internal product development, data integration, analytics, and AI-enabled user experiences
• Contribute to technical roadmaps, architecture decisions, engineering standards, and modernization strategies
• Integrate secure software development practices into CI/CD workflows, including automated testing, code review, scanning, and release controls
• Support practical use of AI/ML capabilities such as summarization, classification, search augmentation, recommendation logic, and workflow automation within business applications
• Collaborate with leadership, engineers, product stakeholders, and delivery teams to turn ideas into production-ready solutions
• Participate in Agile delivery activities including sprint planning, backlog refinement, demos, and technical reviews.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field
• 8+ years of experience in software engineering, cloud engineering, solution architecture, DevSecOps, or application modernization
• 3+ years of experience applying AI/ML, automation, or AI-enabled tooling to software delivery, engineering workflows, analytics, or testing
• Demonstrated experience with AWS cloud services and cloud-native application development
• Experience with AI-assisted coding tools or equivalent AI-enabled software engineering practices
• Experience with AI-assisted testing, automated test design, or quality engineering for APIs and modern applications
• Strong experience designing and implementing API-first architectures and RESTful APIs
• Experience with CI/CD pipelines, source control, automated builds, and modern software delivery practices
• Experience working with containerized or microservices-based applications
• Strong communication skills and the ability to engage with both technical and non-technical stakeholders
• Demonstrated ability to both architect solutions and contribute hands-on code in a modern cloud environment.

U.S. Citizenship is Required

Benefits

• Very competitive salary based on qualifications and experience
• Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
• 401(k) with company match
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance