Artificial Intelligence & Machine Learning Architect SME

General Dynamics
United States
Workplace: RemoteFull timeUSD 195,240 - 264,148 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Responsibility","Team collaboration","Documentation"]

Define and maintain scalable, modular AI/ML architectures for the Case Management Modernization program, aligning with enterprise cloud strategy. Architect end-to-end AI/ML pipelines (ingestion, feature engineering, training, deployment, monitoring, retraining) and embed MLOps practices for CI/CD and model lifecycle management. Design multi-tenant, multi-region workloads and reusable AI/ML services/APIs, while guiding validation, responsible AI, and compliance-aligned infrastructure automation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
General Dynamics
General Dynamics
1 week ago

Artificial Intelligence & Machine Learning Architect SME

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Define and maintain scalable, modular AI/ML architectures for the Case Management Modernization program, aligning with enterprise cloud strategy. Architect end-to-end AI/ML pipelines (ingestion, feature engineering, training, deployment, monitoring, retraining) and embed MLOps practices for CI/CD and model lifecycle management. Design multi-tenant, multi-region workloads and reusable AI/ML services/APIs, while guiding validation, responsible AI, and compliance-aligned infrastructure automation.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define, document, and maintain scalable, modular AI/ML architecture aligned with enterprise cloud strategy for the CMM initiative.
  • •Architect and implement end-to-end AI/ML pipelines across ingestion, feature engineering, training, deployment, monitoring, and retraining.
  • •Integrate MLOps best practices for continuous integration, delivery, and machine learning lifecycle management.
  • •Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient.
  • •Use Infrastructure-as-Code tools to provision and manage cloud AI/ML infrastructure in line with federal compliance and security standards.
Travel: Low travel

Pay and Benefits

Salary: USD 195,240 - 264,148 annually
Perks:Health InsuranceDentalVision401kPaid LeaveRemote WorkPaid Parental

Key Requirements

  • •15+ years of specialized experience in information systems, with BA/BS (or equivalent) required; advanced degrees may substitute or add preference.
  • •Proven success 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 Python programming skills plus containerization and orchestration experience (Docker, Kubernetes) for ML workloads.
  • •Experience with MLOps tooling and CI/CD integration (e.g., MLflow, Kubeflow, TFX, Airflow) and familiarity with federal data governance and security standards.
Experience:15+ years
Education:Bachelor's
Skills:ResponsibilityTeam collaborationDocumentation
Certifications:AWS Certified Machine Learning – SpecialtyGoogle Professional ML Engineer
Tech Stack:PythonAWS SageMakerAzure MLGCP Vertex AITensorFlowPyTorchScikit-learnXGBoostKerasDockerKubernetesMLflowKubeflowTFXAirflowTerraformCDKCloudFormationIaCCI/CD

Eligibility

Nationality:US National
Security Clearance:BI Full 6C (T4)Public Trust

Company Brief

General Dynamics
Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Tysons / Fairfax, United States
WebsiteLinkedIn