Digital AI Development Engineer

Digital AI Development Engineer Astrion Apr 28, 2026

Overview Digital AI Development Engineer Job Location:

Huntsville, Alabama Job Status:

Full Time Clearance:

Active Secret At Astrion, we are at the forefront of new missile defense technologies and engaged with the Missile Defense Agency's (MDA) rigorous engineering efforts to develop and deploy a layered Missile Defense System (MDS). This exciting, rewarding work helps guarantee the security of the United States, deployed forces, and allies. Join a professional team of highly qualified engineers, analysts, scientists and technicians supporting the research, development, testing and evaluation of the missile defense system whose purpose is to detect, track, engage and destroy adversary missiles. Your typical day- Our MDA analysts and engineers work in modern, well-appointed government facilities at Redstone Arsenal. Redstone is located in Huntsville, Alabama, otherwise known as "Rocket City." Huntsville is the hub of missile and space research and development. You will collaborate with other missile defense experts - military, government civilians, and contractors from Astrion and other companies. Our team of experts helps the Government manage planning, development and delivery of state-of-the art sensors, weapons, communications, and command/control systems. What are your specific duties? - The Digital AI Development Engineer will support the MDA Ground-based Midcourse Dense (GMD) Product Office. The candidate will provide technical and advisory assistance to GMD by aiding in design, implementation, and management of AI solutions.

REQUIRED QUALIFICATIONS / SKILLS

Education:

Bachelor's degree in a STEM related field

Experience:

3+ years of relevant experience Active DoD Secret security clearance, which requires US Citizenship Working understanding of AI pipelines, including data processing, model deployment, and integration Strong programming skills in Python or similar languages, with a focus on AI and data processing libraries Ability to work independently while collaborating effectively with team members. Excellent problem-solving skills and attention to detail Proficiency in Microsoft Office (Word, Excel and PowerPoint)

PREFERRED QUALIFICATIONS / SKILLS

Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment Understanding of frameworks such as LangChain, Open WebUI, and embeddings databases Familiarity with semantic search and recommendation systems Knowledge of distributed systems and scalable architectures for AI pipelines Experience with containerization tools like Docker and orchestration platforms like Kubernetes Understanding of MLOps practices for continuous integration and deployment of AI models Solid understanding of full-stack development principles, including front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js) and back-end technologies (Python, Node.js, Java, Go) with relevant frameworks (Django, Express.js, Spring Boot, Gin) Experience in designing, implementing, and managing relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databases Experience developing and consuming RESTful APIs Demonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deployments Experience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor, Google Cloud Logging) Understanding of software architecture patterns, design principles, and security best practices for cloud environments and web applications Strong troubleshooting and problem-solving skills across the entire technology stack Experience working in an Agile development environment and collaborating effectively with cross-functional teams Ability to clearly and concisely document infrastructure, configurations, and deployment processes Experience with Linux and/or Windows system administration

RESPONSIBILITIES

Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI Develop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applications Integrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and security Collaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needs Optimize AI workflows for performance and efficiency, ensuring seamless integration with existing systems Stay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performance Document processes, workflows, and best practices for AI pipeline development and maintenance #CJ