General Dynamics Information Technology

Artificial Intelligence & Machine Learning Architect

General Dynamics Information Technology

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $166,816 - $218,500 per year

Job Level

SeniorLead

Tech Stack

AirflowAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKerasKubernetesPythonPyTorchScikit-LearnTensorflowTerraform

About the role

  • Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Expert supporting 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 204+ federal courts across the United States
  • The AI/ML Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications
  • RESPONSIBILITIES: Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative
  • 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

Requirements

  • BA/BS or Master's of Arts or Science in related field, preferred; 15+ years of specialized experience in information systems required
  • Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), Doctorate Degree/Ph.D. (12+ years)
  • Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)
  • 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
  • Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred
  • Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen)