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

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. Responsibilities 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 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 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 Preferred Certifications: One