AI​/ML Engineer

Job Number: R0241767

AI/ML Engineer

As an experienced engineer, you will build reliable and scalable AI systems that go beyond model development. You will design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems. Your technical expertise will support the development and operationalization of AI capabilities that enhance mission performance and decision‑making. You will build, test, deploy, and operate end‑to‑end AI pipelines that keep mission systems running securely and efficiently.

In this role, you will guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that improve performance and reliability. You will collaborate with AI model engineers, data engineers, cloud architects, and ISSEs to align AI/ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. Your contributions will optimize data flow, automate operational workflows, provide monitoring and observability, and support resilient mission execution across hybrid compute environments.

• 6+ years of experience with software engineering
• Experience with Python
• Experience developing and maintaining AI and ML pipelines for model training, validation, and deployment
• Experience integrating AI and ML capabilities into production systems and mission workflows
• Experience implementing monitoring and observability solutions for model performance, resource utilization, and system health
• Knowledge of hybrid compute environments such as cloud and on‑prem
• Ability to automate workflows and build reproducible, scalable, and efficient ML and AI systems
• Ability to collaborate with cross‑functional teams to align workflows with infrastructure and security requirements
• TS/SCI clearance with a polygraph
• HS diploma or GED

• 10+ years of experience with software engineering
• Experience with Rust for systems‑level or high‑performance components
• Experience evaluating or adopting emerging AI and ML frameworks, libraries, or tool chains
• Experience with containerization or orchestration technologies such as Docker or Kubernetes
• Experience in cloud services relevant to AI and ML such as AWS or Azure
• Knowledge of CI/CD for ML pipelines or infrastructure as code such as Terraform or Cloud Formation
• Knowledge of ML Ops orchestration tools such as Airflow, Kubeflow, or MLflow
• Knowledge of distributed training, GPU optimization, or advanced model deployment patterns
• Bachelor's degree

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Salary range: $99,000.00 to $ (annualized USD). This posting will close within 90 days from the posting date.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.