Principal AI-Enabled Software Engineer (Top Secret)

Praescient Analytics•Fairfax, VA

4d•Remote

About The Position

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. 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.

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

Nice To Haves

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
AWS Certified Solutions Architect
AWS Certified Developer
AWS Certified DevOps Engineer
AWS Certified Machine Learning
SAFe, Scrum, or other Agile certification

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

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

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