[Hiring] AI/ML Architect SME @General Dynamics Information Technology

Role Description

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM Program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern, cloud-based solution to support all 204+ federal courts across the United States. The AI/ML Architect SME will be responsible for defining, designing, deploying, and maintaining the modular AI/ML architecture necessary for the CMM Program.

• Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
• Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models.
• Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient.
• Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards.
• Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications.
• Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency.
• Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur.
• Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports.
• Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner.

Qualifications

• BA/BS or equivalent required; Master of Arts or Science in related field preferred.
• 15+ years of related experience required, with at least 5+ years of recent, demonstrable, hands-on experience architecting and deploying AI/ML workflows in cloud environments utilizing Amazon SageMaker AI, Azure Machine Learning, and/or Google Cloud Vertex AI.
• Proven success in architecting and deploying AI/ML workflows in cloud environments.
• Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras.
• Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads.
• Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment.
• Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP.
• Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure.
• Experience with multi-tenant, distributed systems, and cloud-native architecture patterns.

Requirements

• Must be able to pass a background check to obtain a position of Public Trust.
• Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

Benefits

• Comprehensive benefits and wellness packages.
• 401K with company match.
• Competitive pay and paid time off.
• Award-winning culture of innovation and a military-friendly workplace.
• Flex work weeks where possible.
• Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
• Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.