Principal AI-Enabled Software Engineer (Top Secret) with Security Clearance

About the role

Praescient Analytics is seeking a Principal AI-Enabled Software Engineer to lead the development of AI-enabled applications, cloud solutions, and internal innovation capabilities. This role requires a senior technologist with a blend of strategic thinking and practical implementation skills.

Responsibilities

• Architect and build AI-enabled software solutions in AWS-based environments
• 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
• Serve as a trusted technical leader across engineering and solutioning efforts

Requirements

• 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

Preferred Qualifications

• Experience with SAFe Agile or enterprise Agile delivery models
• Experience with Python, Java, JavaScript, or TypeScript
• Experience with infrastructure as code, cloud automation, and deployment pipelines
• Experience with automated API, UI, integration, or regression testing frameworks
• Experience integrating AI/ML capabilities into production software applications
• Familiarity with MLOps concepts, model governance, performance monitoring, and explainability practices
• Experience with secure coding, vulnerability scanning, and software quality controls
• Experience building internal platforms, reusable frameworks, or productized software capabilities
• Familiarity with Jira, Confluence, Git-based workflows, and collaborative engineering tools

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