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# Software Developer Senior/ AI/ML (TS/SCI w/ Poly)

- **Company:** Parsons Corporation
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Salary:** $125,100.0 - $225,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, Machine Learning, Ansible, Prometheus, Management of Software Versions, AI Infrastructure, Data Logging, Cloud Platform System, Delivery Pipeline, Grafana, Infrastructure Automation Frameworks, Terraform, Docker, Elk Stack
- **Published:** August 2, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8957771/software-developer-senior-aiml-tssci-w-poly

## About the Role

* Active TS/SCI w/polygraph
 * Bachelor's degree in a relevant technical field with 10 years of experience; Master's degree in a relevant technical field with 8 years of experience; 4 additional years of experience will be considered in lieu of degree
 * Proficiency in DevOps principles and practices
 * Demonstrated expertise in containerization

What Desired Skills You'll Bring:

 * Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
 * Ability to translate complex technical concepts into actionable engineering solutions
 * Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
 * Understanding of machine learning concepts and their implications for infrastructure
 * Continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements
 * Extensive experience with AI model lifecycle management and maintenance
 * Proven experience in architecting and managing CI/CD pipelines
 * Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
 * Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)

## Description

* Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure)
 * Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance
 * Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models and applications
 * Implement and manage containerization solutions using technologies like Docker and Kubernetes
 * Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling
 * Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization
 * Oversee system performance, security, and scalability of AI infrastructure
 * Continuously research and implement new DevOps tools and practices to enhance efficiency


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