Principal AI-Enabled Software Engineer (Top Secret)

Praescient Analytics is a Certified Woman-Owned Small Business specializing in advanced analytics, engineering, and DevOps. They are seeking a Principal AI-Enabled Software Engineer to architect and build AI-enabled applications and cloud solutions, while also contributing to code and implementation in a high-impact environment.

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

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
• U.S. Citizenship is Required
• 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
• One or more of the following is preferred: AWS Certified Solutions Architect
• AWS Certified Developer
• AWS Certified DevOps Engineer
• AWS Certified Machine Learning
• SAFe, Scrum, or other Agile certification