AI Software EngineerDeveloper

What Youll Do

A career at Pantex can offer you the opportunity to make a personal impact on our nation. We recognize that excellent employees are absolutely critical for mission success. We are seeking an Artificial Intelligence (AI) Software Engineer/Developer to design build and deploy production-grade machine learning systems and AI-powered applications.

Primary duties include design development and maintenance of robust scalable software components and Application Programming Interface (APIs) necessary to move machine learning models from development into secure operational environments.

Additional duties may include collaboration with Data Scientists to containerize models automate testing and deployment via Continuous Integration and Continuous Delivery (CI/CD) pipelines and ensure solutions meet strict performance and cybersecurity standards.

Core Responsibilities and Duties

• Design and implement Machine Learning Operatons (MLOps) pipelines (CI/CD) for automated model testing deployment and monitoring in secure environments.
• Develop and integrate Representational State Transfer (REST)ful APIs and microservices to serve machine learning models to internal business applications efficiently.
• Write clean well-tested and documented production code (e.g. Python Java) for application backends and infrastructure orchestration.
• Utilize containerization technologies (e.g. Docker Kubernetes) to ensure portability and scalability of AI solutions across development and production environments.
• Implement Development Security and Operations (DevSecOps) practices including automated security scanning vulnerability management and least-privilege principles within the AI software lifecycle.
• Collaborate with the AI Agile Lead to estimate user stories and participate actively in all Agile ceremonies.

Other Responsibilities and Duties

• Support the maintenance and optimization of existing AI production systems focusing on reliability and cost efficiency.
• Assist in the technical evaluation and integration of new MLOps platforms and tools (e.g. feature stores model registries).
• Work closely with Data Engineers to troubleshoot data pipeline issues impacting model performance or training readiness.
• Document all architecture deployment procedures and production monitoring processes for knowledge transfer.

What You Can Expect

• Meaningful work and unique opportunities to support missions vital to national and global security.
• Top-notch dedicated colleagues.
• Generous pay and benefits with a stable organization.
• Work-life balance fostered through flexible work options and wellness initiatives.

Minimum Job Requirements

• Bachelors degree inengineering/science discipline.
• OR Applicants without a bachelors degree may be considered based on a combination of at least 8 years of completed education and/or relevant experience.

Department of Energy (DOE) Order 426.2A Requirements

Not applicable.

Preferred Job Requirements

• 2 years of experience in professional software development DevOps or ML engineering.
• Demonstrated proficiency in Python and experience with at least one major cloud provider (e.g. Azure Amazon Web Services (AWS)).
• Experience with version control (Git) and implementing continuous integration/continuous delivery (CI/CD) pipelines.
• 5 years of experience with MLOps or building high-scale production AI systems.
• Experience with container orchestration tools like Kubernetes or serverless deployment methodologies.
• Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch) and data serialization protocols.
• Experience working with highly regulated security standards (e.g. National Institute of Standards and Technology(NIST) International Organization for Standardization) ISO 27001).
• Active or previous Department of Energy Q clearance.